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{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"Title: Hybrid AI Search 1 - how to build fast embedding service","vector":[-0.03708263,0.016869811,-0.03117046,-0.100228354,0.069646016,-0.0002488394,0.04974273,0.10672864,-0.078189254,0.016637659,0.00916232,0.034482516,0.008868259,-0.061876614,-0.022039093,0.061907567,-0.027161945,0.033832487,-0.022565309,-0.10518096,-0.06144326,-0.035782572,-0.044542495,0.00055571715,0.048225995,-0.034080114,-0.026248809,0.060824186,-0.07843689,0.07948931,0.04107567,-0.02185337,0.021528356,-0.007684277,0.020027097,-0.041818563,0.0957091,0.06568393,-0.046492584,0.022487924,0.072617576,0.023617737,-0.05073325,0.014517324,-0.018665131,-0.04361388,-0.005308574,0.018649654,0.010284395,-0.06846977,0.041292347,-0.062464736,0.032718148,-0.04296385,0.002594314,-0.010632625,0.05596444,0.051166605,0.070946075,0.022874845,0.028260805,-0.016343597,0.0022925145,-0.050485622,-0.027223853,0.079427406,-0.0016482889,0.0949043,-0.058781236,0.052714292,-0.039125584,-0.017922241,-0.0011307804,-0.02539758,0.0027722982,-0.01598763,0.050578482,0.017256735,-0.023973705,0.031449042,0.079798855,-0.005916042,0.03265624,0.022766508,0.1669028,0.031789534,-0.053395275,-0.14090163,-0.022209339,-0.0013271435,-0.13953966,-0.07515579,0.026496438,-0.04327339,-0.036835004,0.010369518,-0.044635355,-0.0099439025,-0.07948931,0.06902694,0.019299684,-0.035380173,-0.013666095,-0.03698977,0.022859368,0.031526428,0.040178012,0.010911209,0.026558347,0.04884507,0.033987254,-0.016637659,0.02425229,0.0024182643,0.028926311,-0.026450008,-0.0498975,-0.12412467,0.07639394,-0.05636684,0.03175858,-0.06989364,0.033894394,-0.05014513,0.000117588104,0.04023992,-0.043335296,-0.018092487,0.04033278,0.006891086,0.036773093,-0.0054362584,-0.007962861,0.013016066,0.08636106,0.019098485,0.04153998,0.070388906,0.03958989,0.014006587,-0.047823597,-0.077446364,-0.07503197,-0.04157093,0.004167153,0.07144133,-0.034482516,0.020398544,-0.011816607,-0.0010746766,-0.16876003,0.033337224,0.023880843,0.02744053,0.016560273,-0.0339563,0.02299866,-0.041199487,0.0018388482,0.07763209,0.04466631,-0.056769237,0.005308574,0.005885088,0.00816406,0.006716971,-0.011220747,-0.011824345,-0.11985305,0.04739024,0.07193659,0.054045305,0.05113565,0.04664735,-0.09521384,0.05621207,0.0531786,-0.051352326,-0.032346703,0.06320763,-0.053054783,0.05506678,0.041756652,0.058131207,-0.041106623,-0.011019547,0.052219033,0.054076258,0.09137557,-0.041756652,0.0032965778,0.0012342822,0.008326568,-0.00856646,0.005416912,-0.10313801,-0.00066744094,0.06407433,-0.051476143,0.0064770794,0.015213785,-0.10728581,0.014145879,-0.020677127,0.007324439,0.010121888,0.018309163,-0.036835004,-0.026542868,-0.04605923,0.024685642,0.0021532224,-0.061164677,-0.097318694,0.007165801,-0.0006205266,-0.062309965,0.022162909,-0.1276534,0.04113758,-0.0298704,0.033275317,0.022580786,-0.037020724,-0.035194453,-0.05268334,-0.023370106,-0.049835593,0.046183046,-0.039466076,0.027842928,-0.0033797661,0.047792643,-0.009177797,0.0065660714,-0.038816046,0.032532427,-0.103385635,-0.0454092,0.09496621,-0.016312644,0.047668826,-0.019872328,-0.05184759,0.024143951,-0.03370867,-0.052466664,-0.018541316,0.004267753,-0.009471858,0.048071224,0.025583303,0.08877545,-0.04804027,0.005347266,0.049557008,0.07948931,0.015623922,-0.009471858,0.012296391,-0.019284207,-0.007591415,-0.0064151715,0.044047233,-0.07069844,-0.050114177,0.0883421,-0.028802495,-0.048102178,0.058843143,0.02773459,-0.020940235,-0.03624688,0.08828019,0.024267767,-0.079798855,0.0033139894,-0.05769785,0.08252279,-0.08010839,-0.05522155,0.019655652,0.03469919,0.046275906,-0.09787586,-0.08369903,-0.042901944,-0.029313233,-0.04482108,-0.049061745,-0.015391769,0.026898839,-0.028756065,0.071874686,0.012513067,-0.020274729,0.07565105,-0.0057071038,-0.0074366466,0.012435682,-0.035968296,0.041787606,0.024484443,0.04915461,-0.08140845,0.061721843,-0.02908108,0.044728216,-0.020522358,0.01632812,0.027347667,0.02973111,-0.008287876,-0.050392758,0.07948931,0.09632818,0.055252504,0.053642906,-0.0008623531,-0.054942966,-0.006836917,-0.07175087,-0.20429496,0.06568393,-0.013402988,-0.020228298,0.06311476,0.0040007764,0.0007656225,0.01214936,-0.07385573,-0.09564719,-0.047266427,0.04899984,-0.034823008,-0.093047075,-0.03794934,0.07100798,0.020135436,0.01767461,-0.012017806,-0.04451154,-0.011839822,0.017566273,-0.024824934,-0.02957634,0.012899989,0.07367001,-0.00025681968,-0.018835377,0.0018340116,-0.011243962,0.016065013,-0.08295614,-0.029468002,-0.045130618,-0.066364914,0.026310716,-0.08066556,0.1178101,0.005621981,-0.07763209,0.03141809,0.02843105,-0.030535907,-0.04794741,0.00016939941,-0.07497007,0.028044127,0.016343597,-0.026898839,0.08283232,-0.049711775,0.016250737,-0.11403374,-0.026480962,0.09385187,-0.07342237,0.032841966,0.041942377,0.03510159,-0.017968671,-0.03949703,0.009556981]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"## [](#why-not-use-openai-embedding-api)Why Not use openai embedding API\n\nMemfree initially used the openai embedding API, which is very easy to use, and the latest text-embedding-3-large model also supports custom dimensions. The only problem is latency. Even for very short inputs, the openai API latency takes 100 to 200 milliseconds.","vector":[-0.034878686,0.03594952,-0.028377175,-0.03515404,0.0009202504,0.0018624911,0.01896911,0.06688141,-0.065412834,-0.013155995,0.058681857,0.035643566,-0.0037115968,-0.036745,0.056173038,0.02112608,0.011932181,0.0073122857,0.008704374,-0.0146169225,-0.05039052,-0.05170612,-0.04271109,-0.083708845,0.09074577,0.022671144,-0.016001362,0.037295718,-0.059630312,0.05911019,0.03221689,-0.059875075,0.01915268,-0.056846138,-0.011435008,-0.028377175,0.06847236,0.04007989,-0.03656143,0.007908895,0.07520334,0.04632134,-0.029295035,0.0002519335,-0.025822464,-0.04873837,0.0017850468,-0.03077891,0.018709049,-0.06553521,0.057458043,-0.051155403,-0.013408407,-0.03209451,0.012046915,0.07214381,0.09356054,0.0016942169,0.079609066,-0.022227513,-0.007931842,-0.015787194,0.0034056434,-0.04323121,-0.021018997,0.013897932,-0.055530537,0.043078236,-0.034083206,0.04763694,-0.07869121,-0.030243492,0.019596314,0.028055925,0.04567884,-0.057305068,0.03405261,0.07856882,0.018479584,0.007537926,0.06975737,-0.012903583,0.054490294,0.03640845,0.116507046,0.029493906,-0.058437094,-0.06584117,-0.06590236,0.026327288,-0.11356989,0.043996096,-0.044791576,-0.06486212,-0.06516807,-0.0018185104,-0.049900994,0.0099052405,-0.037173335,0.07091999,0.019443337,-0.026556753,-0.030411765,-0.043017045,-0.010218843,0.04188502,0.034480944,-0.016047254,0.027673483,0.13939236,-0.008352527,-0.087747425,-0.030625932,-0.03793822,-0.036714405,0.0077750403,-0.03692857,-0.024981093,0.07036927,-0.07208262,-0.025516512,0.03064123,0.003885608,-0.0074040717,0.005354184,0.050818857,0.018494882,0.06082353,0.06535164,-0.042772282,0.02499639,0.074591435,0.053174697,0.060150433,0.06345473,0.04323121,0.025791869,0.095946975,0.073612384,0.034817494,-0.11069393,-0.037173335,-0.1535886,0.0012563211,-0.047973488,-0.05767221,-0.05748864,0.10683892,-0.011213191,-0.060272817,-0.05984448,-0.06902308,0.029968133,-0.033654872,0.024721032,-0.086768374,-0.044546813,-0.023665493,-0.058865428,0.0852998,0.061374247,-0.046260152,0.05852888,0.02184507,-0.0040844777,0.056509588,0.013553735,-0.06529045,-0.076488346,0.08291336,-0.02066715,0.099434845,0.032553438,0.040783584,-0.056509588,0.02906557,0.062169727,-0.04252752,0.01936685,0.060609363,-0.0050176354,0.032828797,0.06859475,0.019672802,0.004895254,0.021814475,0.054153748,0.060334004,0.09876175,-0.03983513,0.0068151113,0.038703103,0.040722392,0.0203459,0.023374837,-0.035184637,-0.01384439,0.08389241,-0.025776573,-0.04745337,0.0116644725,-0.10157652,-0.03891727,-0.0009972168,-0.038886674,0.030411765,-0.023940852,0.0049755666,-0.025501214,-0.058559477,0.09356054,-0.08689076,-0.051033024,-0.10298391,0.048677184,0.030212896,-0.05898781,0.03851953,-0.07973145,-0.0833417,-0.036989763,0.09111291,0.05341946,-0.10114819,-0.051767312,-0.019978756,-0.040141083,-0.068227604,0.038703103,-0.016613267,0.06406663,0.02014703,0.05308291,-0.030595338,-0.03640845,-0.038213577,0.09105173,-0.07881359,-0.04574003,0.089032434,-0.020116434,0.016567376,-0.023145372,-0.036071904,0.009293334,-0.0061267163,0.025822464,-0.043261807,-0.0780793,-0.029631585,0.03974334,-0.04108954,0.042037994,-0.035674162,-0.065963544,0.09741555,0.068533555,-0.018984407,0.028514855,0.0029027327,0.01851018,0.021493224,-0.03423618,0.045464672,-0.08224027,-0.0077520935,0.1069613,-0.07404072,0.00918625,0.014540434,0.041976802,0.046168365,0.03313475,0.0459236,0.0505435,-0.023053586,-0.078324065,0.030885993,0.09931246,-0.09814984,0.033287726,0.015198234,0.023267753,0.045158718,-0.016169636,-0.010509498,-0.027336935,-0.055469345,-0.08028217,-0.054612678,-0.038672507,-0.008949136,-0.0013528876,0.12250373,-0.041579064,0.020452984,-0.008673778,0.023481922,0.037632264,-0.04730039,-0.112040125,0.034878686,-0.036163688,-0.059049003,0.020223519,-0.0042642253,-0.001686568,0.055102203,-0.005323589,0.049442064,0.08444313,0.01581779,0.039406795,-0.026281394,0.03451154,0.035459995,-0.002732546,-0.044669192,-0.014968769,-0.10212724,0.04041644,-0.0038913444,-0.07208262,0.05938555,-0.00652828,-0.008367824,0.051400166,0.023650195,0.0584065,-0.0052356273,-0.11161179,-0.06376068,-0.11093869,0.014127397,-0.004015638,-0.0787524,-0.053817198,0.0067883404,0.0485548,-0.0062911664,0.00918625,-0.09759913,-0.033807848,-0.023466624,0.05611185,-0.02788765,-0.038030006,0.05978329,-0.005675435,-0.0032488424,0.0022391963,-0.0022238987,0.07569286,-0.06810522,-0.04711682,-0.06455616,-0.046290744,-0.03432797,-0.06834999,0.11130584,0.005618069,0.04935028,0.000587048,0.018586667,-0.01877024,-0.06810522,-0.004390431,-0.08162836,0.0038033829,0.03131433,0.0479123,0.0027076874,-0.04503634,-0.020774234,-0.038213577,-0.026327288,0.048585396,0.022854717,0.09802746,0.03530702,-0.03267582,0.00026388478,-0.038672507,0.0426499]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"When you only need to build vector indexes and search services, a latency of more than 100 milliseconds is acceptable. However, when you need a rerank service, a latency of several hundred milliseconds is unacceptable, because the Internet search engine before rerank takes 500 to 1000 milliseconds.\n\nThe process of Hybrid AI search is as follows:","vector":[-0.01875785,-0.06369572,-0.031577963,-0.033707153,0.026254993,-0.035896316,-0.021636752,0.09434404,-0.12043409,0.023556022,0.06819401,0.075751126,-0.01647872,-0.07443163,0.04147419,0.08468772,0.0058252797,-0.0037298284,0.016073873,-0.014904319,-0.124152675,-0.007343451,-0.08300836,0.0061589023,-0.026284982,0.019327633,-0.025700204,-0.0015669027,-0.09374427,-0.0034037025,0.041774075,0.025460295,0.02673481,0.027709438,0.014844342,-0.07527131,0.073651925,0.0026277483,0.0056678397,0.0041309255,0.05895753,0.020482194,-0.06909367,-0.027079677,0.049930967,-0.08312831,0.0040784455,0.062316246,0.031817872,-0.065734945,0.020032365,-0.020032365,0.016418742,-0.0052217594,0.029868616,-0.03037842,0.0325376,0.056888316,-0.0023334855,-0.062376224,0.0006948914,0.0335872,-0.06501522,-0.04615241,0.016568685,0.053529598,-0.009446399,0.06495524,-0.026494902,0.050350808,-0.047411926,0.0002654457,0.074911445,0.0011479999,-0.04819163,-0.011912959,0.025385324,-0.008914102,-0.024230763,0.005566628,0.04339346,0.013742262,0.05550884,-0.030528363,0.12715153,0.008164388,-0.04210395,-0.0671744,-0.010008685,-0.032807495,-0.029523747,-0.054189343,0.045822535,-0.028998947,-0.024455678,0.039914787,-0.0057840454,0.010893348,-0.030288454,0.055388886,0.028789027,-0.094763875,0.02712466,-0.018173072,0.0099712,0.019522559,0.0889461,-0.06114669,0.03580635,0.16925548,-0.002652114,-0.031368043,0.046932112,-0.07880996,-0.062196292,-0.03562642,-0.06441545,-0.11251711,0.067414306,0.02004736,0.013397394,0.030708294,0.025910124,0.009506376,-0.059497323,-0.026584867,-0.018682878,-0.047291975,0.07359195,-0.06627474,0.08354815,0.04966107,-0.019147702,0.0073471996,0.027319586,0.06561499,0.12787126,0.08966582,0.061266646,0.013494856,-0.030438397,-0.05784795,-0.080009505,-0.10148132,0.010713416,0.03397705,-0.055658784,0.06591488,-0.034576822,0.029808639,-0.13518848,-0.0564085,0.016628662,0.022056593,0.01613385,-0.0771306,-0.040964387,-0.03415698,0.015549073,0.09830253,0.052569963,-0.09578349,-0.040544547,-0.0016643656,-0.0018011885,0.065734945,-0.03919506,-0.053769503,-0.089006074,0.058177825,0.0053904452,0.062136315,-0.047471903,-0.0015022398,-0.020212296,0.03982482,0.029478764,-0.060486943,-0.07701065,0.04657225,-0.0031000683,0.021501804,0.042253893,0.06345581,-0.0031581712,-0.03982482,0.06303597,0.029553736,0.043273505,0.037215814,-0.019012753,0.01193545,0.1065194,0.078510076,-0.023226148,-0.02925385,-0.0055891196,0.02348105,-0.0671744,-0.04003474,0.002237897,0.029193873,-0.014814354,0.044802923,0.031907838,-0.06141659,0.025640227,-0.03142802,-0.039734855,-0.010098651,0.025835153,0.010773393,-0.04009472,-0.061086714,-0.009581348,0.031547975,-0.05871762,0.030618329,-0.13686784,-0.05265993,-0.04294363,-0.0018555428,0.006698697,-0.013449873,-0.025205392,-0.076590806,-0.01886281,-0.009911222,0.10975816,-0.06267611,0.02743954,0.045822535,-0.0013438627,-0.024980478,0.022566399,-0.07305215,0.0020879542,-0.06555501,0.005139291,0.039345004,-0.006698697,0.009536365,-0.023466056,-0.005832777,0.034906693,-0.15486097,0.013577324,-0.03100818,-0.008869119,0.00084389705,0.0679541,-0.021291884,0.007568365,-0.018397987,-0.014012159,0.06399561,0.10268086,-0.014169599,-0.027679449,-0.0666346,0.08360813,0.006196388,-0.037155837,0.036735997,-0.10124141,-0.018412981,0.0333173,0.05265993,-0.017588295,0.039165072,0.028429164,-0.026899746,0.013764753,-0.0061326623,-0.009169005,-0.11209727,-0.047621846,-0.01802313,0.112217225,-0.071732655,-0.055418875,0.06993334,0.02004736,0.018113095,-0.081329,-0.034876704,-0.009768777,-0.034696776,-0.0013822856,0.046692204,-0.033257324,-0.0017346513,-0.05197019,-0.0018227427,0.036616042,0.023451062,0.047831766,0.0018752227,-0.0009465142,-0.02631497,-0.06177645,0.09338441,-0.005952731,-0.0050418284,-0.037185825,0.027184637,-0.023780935,0.018922787,-0.0038235425,-0.014874331,-0.02495049,0.044503037,0.07155272,-0.035746373,0.0876266,0.07317211,0.090685435,0.06687451,0.030828249,-0.06177645,0.077490464,-0.016283793,-0.11929453,0.079169825,-0.020602146,0.04069449,0.015579062,0.0417141,0.059917163,0.008119405,-0.07119286,-0.020137325,-0.0792298,-0.00028254854,-0.010683428,-0.08852626,0.021621758,0.06099675,0.04252379,0.011463131,0.0034018282,-0.04567259,-0.05400941,0.0020992,-0.027064683,0.0032931198,-0.012025416,0.07155272,0.05179026,0.022701347,0.0019436341,-0.10394038,0.0564085,-0.04987099,-0.006574994,-0.071732655,-0.01700352,0.057937916,-0.046812158,0.09422409,0.06975341,-0.031997804,-0.06291602,0.044772934,-0.058027882,-0.020302262,-0.013697279,0.016718628,-0.031487998,0.049151264,0.008426788,0.007969462,0.09488383,0.06477531,-0.11191734,-0.018817827,0.06975341,-0.09854244,-0.04090441,0.027304592,0.027139654,0.052539974,0.039374992,-0.006338834]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"1. **Search**: Get answers to user questions from Internet search engines and vectorized databases in parallel\n2. **Rerank**: Sort all relevant contexts according to user similarity and provide the most similar top contexts to LLM\n3. **Answer**: LLM gives the most accurate answer possible based on the context of the 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{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"## [](#how-to-build-fast-local-embedding-service)How to build fast local embedding service","vector":[-0.009813841,0.010398721,-0.018032553,-0.047367733,0.04694237,-0.079482995,0.081062935,0.1351454,-0.09364167,0.014029539,-0.006870448,0.06246829,0.03554859,-0.06374439,0.07668772,0.03825271,-0.051013745,-0.024747286,-0.033816732,-0.023364842,-0.015039788,-0.0015789878,-0.05946033,-0.015951289,0.08543815,0.02078225,-0.008530142,0.0538394,-0.02512708,0.023699058,0.027846394,-0.040622618,-0.010976006,-0.02977574,0.048765372,0.024929587,0.10324282,0.063562095,-0.043964792,-0.021222811,-0.0010377833,0.055206653,-0.041017603,0.02682855,0.018427538,-0.04539281,0.017516036,0.005362672,0.0058829878,-0.102149025,0.037645042,-0.08519508,0.03670316,-0.11861683,-0.008940318,0.013892814,0.029897274,0.030383408,0.046577767,0.03788811,0.009342899,-0.04141259,-0.029790932,-0.04001495,-0.016984325,0.081488304,0.055662405,0.0798476,-0.055905472,0.033452135,-0.017303351,0.015632264,0.027557751,-0.080880634,0.04126067,-0.02611454,0.018457921,-0.026387991,-0.022164697,-0.022833131,0.061830238,-0.037766576,-0.038435012,0.047306966,0.089509524,-0.0046752472,-0.07188714,-0.107618034,0.008393417,-0.008279479,-0.07255558,-0.07389245,0.039498433,-0.01421184,-0.024261152,0.037128527,-0.045970097,-0.032419097,-0.083675906,0.010467084,0.0018116108,-0.024595369,-0.017257776,-0.017713528,-0.019840365,0.01772872,0.075290084,0.009039064,0.011986255,0.054659754,0.018032553,-0.04785387,0.058153845,-0.007990836,-0.03475862,-0.017986977,0.012024234,-0.08300747,0.056938507,-0.025324572,0.053900167,-0.045970097,0.01968845,-0.011295033,-0.046851218,-0.023547143,-0.040835302,0.022559682,0.020432843,-0.037280444,0.047155052,-0.021860862,0.0024325717,-0.011735592,0.03673354,-0.0010482277,0.03466747,0.09406704,0.081062935,0.050284542,-0.0805768,-0.0684842,-0.07091488,-0.04071377,-0.0028883228,0.03673354,0.008089582,-0.0052031586,0.02415481,-0.021967204,-0.11630769,-0.016072823,0.07571545,0.07778153,0.0061830236,-0.025339764,0.003338377,-0.011796359,-0.017303351,0.032662164,0.07255558,-0.088901855,-0.016786834,0.008841572,0.018852904,0.021344345,0.013345912,0.005541174,-0.05675621,0.02505112,0.087139614,0.07808536,0.07996913,-0.025005545,-0.05232023,0.012943332,0.04572703,-0.043357126,0.008560525,0.0056703035,-0.027314685,0.0937632,0.07620159,0.06818037,-0.034090184,0.039893415,0.04590933,0.011674825,0.10251362,-0.007914878,-0.029092114,0.034728236,0.040622618,-0.035305522,0.023881359,-0.0932163,0.07437859,0.09187943,-0.0472462,0.020204967,-0.054963585,-0.011484928,-0.035244755,-0.02406366,0.02666144,-0.04001495,-0.014979021,0.012138172,-0.033026766,-0.0657497,0.033269834,-0.016543766,-0.08701808,-0.08270364,0.028560404,-0.007766759,-0.085681215,0.04019725,-0.077842295,-0.028575595,-0.020691102,-0.023455992,-0.021101277,-0.09084639,-0.020599952,-0.061435252,0.0008013624,-0.07680926,0.046577767,0.023121774,0.10865107,-0.061647937,0.06726887,0.012176151,-0.020463226,-0.035001688,0.046638533,-0.12280974,-0.04548396,0.11478852,-0.0031275922,0.021116469,-0.027922353,-0.05481167,-0.07662696,-0.04518013,-0.043174826,-0.0046144803,0.004048589,-0.1208652,-0.037371594,0.012001446,0.052715216,-0.07589775,-0.028362913,0.053869784,0.028894622,0.0029225042,0.03715891,-0.040683385,-0.013824451,-0.04350904,-0.0305809,0.0065628164,-0.044754762,-0.041503735,0.017546419,-0.035153605,-0.0012922444,0.039559197,0.084891245,-0.02931999,-0.028317338,0.062164456,0.048613455,-0.03494092,-0.051682178,-0.06201254,0.08191367,-0.0472462,0.018944055,0.021617796,0.010505063,0.05648276,-0.1073142,-0.05010224,-0.060523752,-0.04350904,-0.057515793,-0.057211958,-0.048795756,-0.005609537,-0.0045461175,0.12858258,0.033755966,0.013740896,0.07553315,0.009297323,0.00031641472,0.019612491,-0.0598857,0.033604052,0.046365082,0.030368216,-0.0670258,0.040774535,0.043235593,0.024975162,-0.019460574,0.012700265,0.061374485,0.011150711,-0.014006752,-0.038191944,0.044693995,0.05080106,-0.026904508,0.02236219,0.027937545,-0.031750664,-0.017333735,-0.060280684,-0.20539184,0.039224982,0.020463226,-0.0019416898,0.025263805,0.004584097,0.008013624,0.036946226,-0.017774295,-0.0955862,-0.060098384,-0.015366409,-0.061131418,-0.088901855,-0.076870024,0.08440511,0.047063902,-0.0059893294,-0.0025427116,-0.076444656,0.027937545,0.010831686,0.008006028,0.02113166,-0.02076706,0.04189872,0.070185676,0.012176151,0.00177648,-0.0675727,0.01835158,-0.05472052,0.037857726,-0.09437087,-0.08641042,0.031325296,-0.120257534,0.118252225,-0.021982396,-0.02389655,-0.0110215815,0.096315406,-0.0003581919,-0.06350133,-0.04384326,-0.07194791,0.0069653965,-0.042445622,-0.064230524,0.07134024,-0.09060332,-0.011819146,-0.037189294,-0.10445816,0.08483048,-0.040501084,0.008363034,0.023243308,0.0055753556,-0.060098384,-0.00069359626,0.018199662]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"### [](#1-first-try-fastembed-js)1 First Try fastembed-js\n\nI have tested the rust version of the fastembed library before, and I know that I can achieve a few milliseconds of latency. But my entire project is currently built on TS. So I first tried the js version of fastembed [https://github.com/Anush008/fastembed-js](https://github.com/Anush008/fastembed-js)","vector":[0.030723028,-0.03352832,-0.04167381,-0.048399754,-0.00399881,-0.060094107,-0.022459242,0.16223381,-0.033629715,-0.013840572,0.016907806,0.027106566,0.021597376,-0.06583989,0.02703897,0.043160953,-0.01913007,0.004719145,0.009522786,-0.038361534,0.056781832,-0.007959596,-0.06989573,-0.031399,0.022881728,0.009058055,0.009032706,0.048636343,-0.06898317,-0.012682966,0.03795595,0.004930387,-0.07178846,-0.025247637,0.14587523,-0.016848657,0.063609175,0.0235915,-0.03700959,-0.060702484,0.009455189,0.07652028,-0.03173699,0.002598276,0.028171225,0.10524918,0.00010350855,-0.04583105,0.034238093,-0.053165372,0.06600888,0.016003689,0.0034073326,-0.052050013,0.023371808,0.0011723927,0.061175667,-0.0005714095,0.090850934,-0.007968046,0.0393417,-0.045290273,0.021428382,-0.075371124,-0.008158164,0.031280708,-0.023760494,0.083955996,-0.0014047589,0.05816758,-0.06654966,-0.106465936,0.06688765,0.011178924,0.03721238,0.016358577,0.038395334,0.040828843,-0.026700981,0.04116683,0.06709044,0.0007911011,-0.061412256,0.016383925,0.07097729,-0.036468808,-0.038395334,-0.1441177,-0.06921976,-0.010773339,-0.026126403,0.10146373,-0.0058556264,0.046338033,-0.02305072,0.090715736,-0.053638555,-0.017592229,-0.07361359,0.0026827727,0.040896438,0.06489352,-0.029151388,-0.057761997,0.041302025,-0.019028675,0.07151807,0.06161505,0.0655019,0.07009853,0.02305072,0.0071357526,-0.008255335,-0.0576606,-0.01256467,-0.009556585,-0.010350855,-0.15047185,0.011694354,0.008022969,0.020008836,0.10849386,0.012192884,0.011254971,-0.0037896803,0.05157683,0.0025496902,0.04170761,0.06344018,-0.01963705,-0.07124768,-0.048095565,-0.04143722,-0.055362288,0.14141381,0.07145047,-0.027968433,0.013418088,0.092878856,-0.0042206137,-0.08679509,-0.041302025,-0.042924363,0.079832554,0.00048532835,0.02568702,-0.051475435,0.044614296,-0.023963286,-0.02310142,-0.033731114,-0.02332111,0.055632677,0.035184458,0.011432414,-0.004828991,0.040828843,0.028188124,-0.008077892,0.07787223,0.05394274,-0.03302134,0.0030693454,-0.042146992,0.003842491,0.009227048,-0.0043980572,-0.039105106,-0.025230737,0.030216048,0.028340219,0.036468808,-0.013874371,0.09193249,-0.051069852,0.050427675,0.054449722,-0.060432095,0.03346072,-0.038395334,0.030503336,0.072937615,0.030892022,0.017507732,-0.027275559,-0.019586353,0.011128225,-0.016350126,0.033714212,-0.058843553,-0.0367054,0.052320402,0.068340994,0.0124548245,0.034407087,0.004930387,0.0075793606,0.041065432,0.023523903,0.083820805,0.027968433,-0.046777416,0.00072191935,-0.102545284,-0.07124768,0.004744494,0.048771538,0.018572392,-0.00013638308,-0.0068780375,0.027867036,-0.03619842,-0.06709044,-0.10768269,-0.028627507,-0.034525383,-0.008179288,0.034711275,-0.01808231,0.0016476872,0.01128032,0.029523173,-0.053131573,-0.08436158,-0.062493816,-0.004499453,-0.01732184,-0.0071949004,0.035049263,-0.035285853,0.03197358,-0.034136698,0.088620216,0.05482151,-0.04481709,-0.06526531,-0.022729633,-0.01858929,0.038902316,0.041775204,0.008770766,-0.0235746,-0.043194752,-0.024706857,-0.05130644,-0.011128225,-0.030486437,0.048332155,-0.024808254,-0.13431607,0.017710524,-0.030604731,0.031415902,0.017964015,-0.040457055,0.1260016,-0.0023130993,0.026548887,0.020482019,-0.028120527,-0.070706904,-0.021614276,-0.018014712,0.02021163,-0.079832554,-0.026937572,0.09828665,-0.06560329,-0.019180767,-0.017203543,0.084293984,-0.020836905,0.042822964,0.027562847,0.025196938,-0.02254374,-0.09625873,0.0235915,0.046067644,-0.016181132,0.063744366,0.12079659,0.04741959,0.0034685927,-0.01546291,-0.034086,0.05914774,-0.045763455,-0.014313754,-0.07226165,-0.07645268,-0.04136962,0.016958503,0.05613966,0.037144784,-0.017744323,0.035083063,0.020769307,0.008998906,-0.062223427,-0.0065147015,-0.0061724894,-0.035015464,-0.065704696,-0.014305304,-0.0039565614,0.03623222,-0.02906689,-0.04174141,0.01231963,0.065332904,-0.00043727082,-0.06756362,0.032565057,-0.05407794,-0.05215141,-0.014110962,-0.01335894,-0.004512128,-0.02512934,0.056680437,-0.05897875,-0.11843068,0.084293984,0.0942984,-0.029523173,0.062054433,-0.046743616,-0.0003762747,-0.036502607,-0.015429111,-0.052894983,-0.09774587,0.07645268,-0.031128611,-0.09416321,-0.093081646,-0.035083063,0.0602631,0.033088937,-0.05820138,0.0084327785,0.07226165,-0.076993465,-0.011508461,-0.06627927,-0.024284374,-0.033224132,0.014127861,-0.020904502,0.0023025372,0.023659097,0.106465936,-0.09477159,0.04275537,-0.04897433,-0.08463197,-0.008922859,-0.04218079,0.102274895,0.006856913,0.040186666,0.04829836,0.07145047,0.0041551287,-0.042045597,-0.034778874,-0.06523151,-0.072937615,-0.023456305,-0.019991938,0.06164885,-0.08307723,0.034677476,-0.09456879,-0.110521786,0.040862642,0.08713307,-0.070436515,0.07942697,-0.05140784,-0.033477623,0.020955201,0.0009310488]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"The results are in line with my theoretical expectations. Fastembed-js takes more than 40 milliseconds to embed once.","vector":[0.00920076,0.026948342,-0.050155547,-0.022492437,0.013489379,-0.07129449,-0.030065954,0.14757715,-0.10049359,0.017428216,0.08802314,0.01761071,0.0047752704,-0.08461658,0.06527217,0.047174808,0.07683015,0.022507645,-0.049729727,-0.048087277,-0.085407384,-0.057668235,-0.063873045,0.009763451,-0.04322076,-0.01826465,-0.0062618395,0.023998015,-0.00962658,-0.02012001,-0.021199768,0.0220362,-0.008151418,-0.018888172,0.084677406,-0.03278816,0.082791634,-0.029731382,-0.049547233,0.005159269,0.0326665,0.08838813,-0.029351184,-0.021002065,-0.014204148,0.010204479,0.002543516,-0.051585086,0.044346143,-0.12823275,0.009497314,0.02054583,0.029716173,-0.0365293,-0.029001404,0.049790557,0.008402347,-0.0005032854,0.1382091,0.05578246,-0.005657327,-0.068861224,-0.027723944,-0.084555745,-0.025731713,0.0067256796,-0.04629275,0.06241309,0.04991222,0.053105876,-0.03786759,-0.053805437,0.02081957,-0.05620828,0.017306553,0.011360277,0.038840894,0.015770558,0.021291016,0.07117282,0.06953037,-0.015238283,-0.054596245,0.07567435,0.15402529,-0.017625919,-0.015785767,-0.08370411,-0.06642797,0.017595503,-0.062017687,-0.023617819,-0.04066584,-0.06210893,-0.11247739,0.039053805,-0.017443424,0.010508637,-0.06034482,0.010904041,0.02845392,0.013603438,-0.053622942,-0.045167368,0.051737167,-0.0011605504,0.07707348,0.0008326308,0.062139347,0.19344407,0.052315064,0.0037126208,-0.04693148,-0.05715117,-0.014766839,0.0014057773,-0.03680304,-0.041456647,0.06253475,0.007155302,0.07701264,0.04857393,0.057668235,-0.004722043,0.02303992,0.10365683,-0.028864533,-0.00819704,0.045258615,-0.06782709,-0.072024465,0.018812133,-0.068496235,-0.028606,0.06460302,-0.012151087,-0.0016937762,0.092707165,0.062200177,-0.05085511,-0.020576244,-0.056238696,-0.025260268,0.024880072,0.00025235556,0.045471523,-0.01826465,0.051128853,-0.013998842,-0.04836102,-0.08546822,-0.0479352,-0.036012232,0.058154885,0.031693198,-0.058793616,0.024226133,0.0253211,-0.05471791,0.022203486,0.0674621,-0.03823258,-0.028666832,-0.071659476,-0.033639804,0.08309579,-0.025701297,-0.027556656,-0.026233573,0.037137613,0.019298784,0.076769315,-0.026507314,-0.015238283,-0.055539135,0.028423505,0.00067389867,-0.0925855,-0.05891528,0.046110254,-0.0050185965,0.0220362,0.02389156,0.036073063,-0.034917265,-0.027085213,0.066123806,-0.028758079,0.095444575,-0.014432266,-0.026127117,0.11107827,0.109009996,-0.0010474419,-0.021792874,-0.037685096,0.003912224,0.048300188,-0.041182905,0.038415074,0.05855029,-0.05514373,0.049973052,-0.13577585,-0.0010712042,0.021275807,0.04242995,-0.03415687,0.0037639472,0.05970609,0.084555745,-0.056329943,-0.06545466,-0.08315662,-0.010326142,0.014029258,-0.000889185,0.025944622,-0.06314307,-0.041547894,-0.015937846,0.066488795,-0.090699725,-0.11734391,-0.0037278286,0.017002396,-0.031784445,0.033183567,0.054930817,-0.08333912,0.059949417,-0.022781385,0.032210264,0.041760806,-0.06296057,-0.08023671,0.043524917,-0.07141615,0.066123806,0.042490784,0.016029093,-0.043616164,-0.010896437,-0.015048185,-0.05271047,-0.0042315894,-0.012052235,0.033578973,0.0023648234,-0.08577237,0.025229853,-0.008242664,0.0096569965,-0.0008302545,-0.008744524,0.088692285,0.043768242,0.06235226,-0.039266713,-0.0013962723,-0.0076191416,-0.012341185,-0.112355724,0.011360277,-0.06381221,0.064359695,0.023998015,-0.0005541367,-0.024621539,0.023663443,0.05134176,0.0047562607,-0.04106124,-0.024530292,-0.056755763,0.00016229646,-0.043342423,-0.0059462762,0.104873456,-0.00962658,0.017534671,0.12543449,-0.0024465658,0.06134854,0.025701297,-0.0062504336,0.069652036,-0.032696914,-0.022020992,-0.017078435,-0.085042395,0.012721381,0.0206827,0.09952029,-0.043920323,-0.09264633,0.052527975,0.042095378,0.030324489,-0.107245885,-0.06362972,0.07932424,-0.062169764,0.028210595,-0.014280188,-0.0022393586,0.029989915,0.032544836,-0.012630134,0.0032620877,0.009755847,0.009139929,-0.0046574096,0.006554591,-0.005980494,-0.060101494,-0.00053607736,0.014493098,0.060071077,-0.06283891,0.07816844,-0.0005327506,-0.10797586,0.027115628,0.06557632,0.011398297,0.048178524,-0.019390032,0.05000347,-0.0025644267,-0.03579932,-0.026978757,-0.029929085,0.03278816,-0.0021119926,-0.043251175,-0.082669966,-0.043464087,0.013253657,0.016439704,-0.00081314566,-0.00033718694,-0.0125921145,-0.032909825,-0.018355897,-0.0485131,0.05341003,-0.0030453755,0.057576988,0.013147201,0.0020245474,0.021777667,0.019739812,-0.030339696,-0.015032977,-0.07932424,-0.05447458,0.03065906,-0.06995619,0.015010165,-0.08771898,0.03643805,0.035890568,0.02547318,-0.037563432,-0.066853784,-0.012614926,0.020773947,-0.043555334,-0.08023671,0.07293694,-0.0037202246,-0.0506422,-0.00663063,-0.055447888,0.024013223,0.022385981,0.054809157,-0.014029258,0.045197785,-0.105603434,0.040422514,0.07871592,-0.012949499]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"### [](#2-try-fastembed-rs-wasm)2\\. Try fastembed-rs WASM\n\nSo I can only choose the rust version of fastembed: [https://github.com/Anush008/fastembed-rs](https://github.com/Anush008/fastembed-rs). There are two ways to integrate the rust version of the code with my TS project: WASM and local HTTP service","vector":[-0.017558612,-0.033728234,-0.03140319,-0.07506571,0.05323445,-0.111843675,-0.010832592,0.11872822,-0.03774422,-0.02933481,0.041790403,0.0692078,0.023688274,-0.049309053,-0.018539961,0.024126107,-0.058880985,0.02201243,-0.005355905,-0.016380992,0.07929306,0.04864475,-0.037442267,-0.02599822,0.05643516,0.019415628,0.011587476,0.06002841,-0.11274954,0.05492539,-0.011836587,-0.0051747328,-0.015384545,-0.037321486,0.040069267,-0.0033233787,0.07325398,0.06655061,-0.009707814,-0.021529304,0.024850795,0.08496979,-0.0026232235,-0.024926284,-0.014742893,0.10175842,-0.035962693,-0.045504432,0.08521135,-0.07754173,0.029319711,-0.03487566,-0.00070298614,-0.07005327,0.005170958,-0.022540849,0.031071043,0.057099458,0.054865,0.025650973,0.048191823,-0.10997156,0.026375663,-0.04121669,-0.046742443,0.06896624,0.019355237,0.07246891,-0.029485786,0.019823264,-0.049188267,-0.016350796,0.035841912,-0.020064829,0.05948489,0.038559496,-0.011293071,0.009858791,-0.021801062,0.03493605,0.026964473,0.0042764205,-0.07307281,-0.006616562,-0.02364298,-0.027070155,-0.06322912,-0.10634812,-0.048886314,-0.023552394,0.043934274,0.01835879,0.009956925,-0.0121762855,-0.025198042,0.109488435,-0.05323445,-0.014003106,-0.09644403,-0.008764208,0.050788626,0.08823089,-0.020321488,-0.031131433,0.08563409,0.017754883,0.088351674,0.058428053,0.09584013,0.072348125,-0.0022684278,0.023929836,0.0047595464,-0.06570514,-0.022903193,-0.00920959,-0.009662521,-0.13080637,-0.015973354,-0.021393424,-0.027674062,0.074582584,0.012704705,-0.020079926,0.008454706,0.0012946267,-0.01371625,0.050063934,0.031131433,-0.021453815,-0.079595014,-0.09662521,0.007797956,-0.08074244,0.08617761,0.08720425,-0.035902303,0.009081259,0.04997335,-0.008937832,-0.040069267,-0.04776909,-0.017226463,0.091673166,0.03907282,0.04082415,-0.010002218,0.014795735,-0.014131436,-0.014493781,-0.023627883,-0.041730013,0.115587905,0.0068279295,-0.017498221,0.011640318,0.038529303,0.0074620326,0.013678506,0.14530015,0.048493776,-0.023960032,-0.010892983,-0.020276196,0.05081882,-0.012923622,-0.01385213,-0.0014578706,-0.025031967,0.016833922,0.040129658,0.094753094,0.088472456,0.1169165,-0.06063232,0.025499996,0.041518643,-0.03581172,0.06144759,0.025198042,0.017528417,0.039404966,0.03907282,0.019823264,-0.03369804,0.0052351234,-0.011602574,0.03587211,0.045413848,-0.037261095,-0.02110657,-0.0010587254,0.06413498,-0.0063863224,0.051181164,0.011829039,0.04019005,0.033818822,0.047074594,0.117399625,-0.0018315384,-0.058488447,-0.0145692695,-0.08176908,-0.016667848,-0.00920959,0.049792178,0.035509765,-0.0011200598,-0.04734635,0.037351683,-0.03662699,-0.0698721,-0.06522202,-0.08581526,-0.014055948,0.017271755,0.0007279917,-0.06298756,0.07627352,0.005031305,-0.0031440936,-0.07440141,-0.060300168,-0.054170508,-0.01790586,-0.026134098,-0.060149193,0.031916514,0.025530191,0.044507984,-0.07953462,0.07506571,0.015535521,-0.03638543,-0.047316156,0.017936055,-0.06769803,-0.020140316,0.04544404,0.0026251106,-0.038106564,-0.034120776,-0.083339244,-0.07307281,0.024216693,-0.039676726,0.074039064,-0.024277084,-0.10677085,0.030648308,0.003423401,0.02749289,0.0010691051,-0.05598223,0.09191473,-0.0195968,0.047134984,0.028353458,-0.06884546,-0.068483114,-0.018706037,-0.03587211,0.049611006,-0.051634096,-0.074703366,0.04782948,-0.060209583,-0.011678062,-0.0008700043,0.08853284,-0.06588631,-0.04801065,0.029214026,0.04840319,0.0013738896,-0.020532856,0.00043877657,0.029757544,-0.06576553,0.043088805,0.021529304,0.0034988893,0.0013361454,-0.07814564,-0.090284176,0.034090582,0.022752216,-0.017407635,-0.062323257,-0.043994665,-0.017754883,-0.0100097675,0.029455591,0.05374777,-0.022420067,0.07162344,0.0391936,0.0019834589,-0.019747777,-0.018404081,-0.026436053,-0.026798397,-0.056193598,-0.033154525,0.0042084805,0.10175842,-0.03285257,-0.029183831,0.010085256,0.12694137,0.053325035,-0.08521135,0.045927167,-0.035117224,-0.0068203807,0.008409413,-0.012153639,-0.057763755,0.035147417,-0.045745995,-0.0476785,-0.13370512,0.038559496,0.08352041,-0.045293067,0.034060385,-0.028006213,0.01071181,-0.033607453,-0.00064165174,-0.06250443,-0.04779928,0.035690937,0.0065486226,-0.07482415,-0.11903018,-0.026149197,0.05374777,0.03140319,-0.029742446,0.03161456,0.10411366,-0.054532852,-0.027221132,-0.06872468,0.0077677607,-0.037140314,0.006718471,0.03475488,0.0019796845,0.02103108,0.09596091,-0.060994662,0.037291292,-0.04408525,-0.04559502,-0.03695914,-0.03813676,0.10815984,-0.0074242884,0.0036876104,0.035509765,0.07252929,0.02376376,0.029636763,-0.0074733556,-0.06437654,-0.089317925,-0.040975127,-0.05525754,0.08358081,-0.05184546,-0.014063497,-0.06824155,-0.11063586,0.081406735,0.04532326,-0.07603196,0.06649022,-0.043783296,-0.06691296,-0.051422726,-0.050849017]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"But when I compiled fastembed-rs into WASM version, I encountered many compilation errors, so I temporarily gave up the WASM 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{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"### [](#3-fastembed-rs-local-http-service)3\\. fastembed-rs local HTTP service\n\nFinally, I built a simple embedding service based on fastembed-rs and axum. **The core code is only a few dozen lines, and a single embedding takes only a few milliseconds.**\n\n**The complete code is now open source**: [https://github.com/memfreeme/memfree](https://github.com/memfreeme/memfree)","vector":[-0.011763417,0.057962306,-0.039954916,-0.055552635,-0.0029306784,-0.07215981,0.05936252,0.13259691,-0.09072078,0.048877202,0.04161563,0.06812199,0.07229007,-0.069750145,0.07248545,0.07079217,-0.023705931,-0.0067446306,-0.020042583,-0.041973826,0.0090443995,-0.035298392,-0.048909765,-0.04487194,0.0962565,0.026376106,-0.014449873,0.035917092,-0.02937191,0.0014398993,0.02577369,-0.032725908,-0.012064626,0.028508987,0.03686142,0.04327635,0.09514936,0.04379736,0.0016963336,-0.04106206,0.049202833,0.05906945,-0.020058865,0.010298078,0.010859791,0.06414929,-0.014148664,-0.059102014,0.0026681384,-0.09808004,0.07776067,-0.05105893,0.030072017,-0.06870813,-0.024568854,0.016200138,0.08160311,0.045099884,0.056138773,-0.030251114,-0.017991109,-0.07066191,0.043927614,-0.03484251,-0.006887094,0.062358323,0.015508173,0.05255683,-0.06480055,0.011527335,-0.0847943,-0.020205399,0.060990673,-0.009443297,0.054119863,0.031976957,0.017111905,0.030072017,0.007444737,-0.00978521,0.06190244,0.00012548239,-0.02157305,-0.02074269,0.12569354,-0.010680694,-0.07215981,-0.119767055,-0.036828857,-0.019391323,-0.07789092,-0.021947525,0.042006392,-0.0534686,-0.03650323,0.0055397963,-0.0002480392,-0.030218551,-0.080821596,0.0057758787,0.010314359,0.038880333,-0.025708562,-0.055617765,-0.006549252,0.060371976,0.04161563,0.044090427,-0.010623709,0.08049597,0.049007457,-0.0074813706,-0.035917092,-0.026083037,0.0010827228,-0.05337091,0.01221116,-0.088050604,0.030755842,-0.020645002,-0.005454318,0.02116601,0.042722777,-0.03832676,0.041517943,0.0052589397,-0.05906945,-0.007994239,0.07163881,-0.012919407,-0.04780262,-0.069880396,-0.015027868,-0.034907635,0.07912832,0.052328892,-0.008612938,0.053631414,0.12797296,0.0041070203,-0.07815143,-0.03150479,-0.077630416,0.024438601,-0.016883964,0.00207895,-0.03546121,0.0122193005,0.0063090995,-0.05802743,-0.09501911,0.0040581757,0.08134261,0.018723778,-0.0030242973,-0.036893986,0.009557268,0.010696976,-0.028818337,0.08785523,0.015491892,-0.058581006,0.0070376983,-0.0035310604,0.020693846,0.06437723,0.013481121,-0.08407791,-0.023982719,0.031341977,0.058255374,0.07906319,0.10061996,0.024861922,-0.050896116,0.037414994,0.058287937,-0.037740625,-0.035396084,-0.020579875,-0.0013330516,0.08316614,-0.0012038168,0.03471226,-0.036600918,0.050798424,0.086813204,0.040573616,0.064084165,-0.095670365,0.0031138458,0.027239028,0.08225437,-0.0057229637,0.034907635,-0.035851967,0.04262509,0.104788035,0.006610308,0.031407103,-0.011445927,-0.04295072,0.010363204,-0.03233515,-0.03241656,-0.03126057,-0.021540485,-0.014571984,0.0014429521,-0.014254494,0.034582004,-0.026441231,-0.113124184,-0.07828168,-0.012097189,-0.03546121,-0.053403474,0.017470099,-0.021247419,0.00069756253,-0.02736928,0.020758972,-0.053305782,-0.07131317,-0.018512119,-0.01862609,-0.023917591,-0.062814206,0.053208094,0.06694972,0.067405604,-0.069619894,0.028150793,0.017502662,-0.09443297,-0.06707997,0.03474482,-0.095214486,0.017665477,0.09013464,-0.041648198,0.049105145,0.008165196,-0.06541926,-0.04356942,-0.008653642,-0.03484251,0.010810947,-0.010127122,-0.13051288,-0.006064876,-0.0018326916,0.07001065,-0.008152984,-0.029453319,0.12868935,-0.015386062,-0.0010410014,-0.007872128,-0.022810446,-0.05271965,-0.05167763,-0.04002004,0.054478057,-0.085119925,-0.04959359,0.03451688,-0.03253053,-0.027825164,0.044383496,0.106025435,-0.0018428676,0.0057229637,0.058255374,0.070987545,0.008873443,-0.04558833,-0.050668173,0.08525018,-0.07997496,0.015841944,0.04770493,-0.01136452,0.003189148,-0.041387692,-0.040671304,0.001632225,-0.058906637,-0.018039953,-0.10622081,-0.05210095,-0.0011987289,-0.02473167,0.10876073,0.021963807,-0.015955916,0.010118981,0.033767927,0.04115975,-0.0029551007,-0.063791096,0.031325694,-0.036698606,-0.016818838,-0.039205965,-0.0033458578,-0.0032013592,0.061511684,-0.0028044963,-0.004465214,0.11872504,0.008214041,-0.042983282,0.015524454,0.04936565,0.030706996,-0.03634041,-0.010981903,0.019244788,-0.022387126,0.03399587,-0.04233202,-0.2084038,0.080300584,0.018333022,0.0058572865,0.058971763,0.024471164,0.028785774,0.01011084,-0.0069888537,-0.054347802,-0.015483751,0.03894546,-0.045848835,-0.11123553,-0.0713783,0.039792098,0.093977086,0.032937568,-0.07001065,-0.05402217,0.05327322,-0.03516814,0.032074645,0.006724279,-0.011568039,-0.015190683,0.0035330956,-0.007326696,0.0020392637,-0.04135513,0.068903506,-0.0015864332,0.028248483,-0.07124805,-0.05578058,0.028460143,-0.08544555,0.11846453,0.013285742,0.018609807,0.051221747,0.07645814,-0.039922353,-0.02157305,0.019033128,-0.053338345,0.017144468,-0.025138708,-0.045197573,0.06427955,-0.1427566,-0.033409733,-0.018251615,-0.10530905,0.10426702,0.013497402,-0.011852966,0.048909765,0.014588266,-0.03692655,0.0065329704,-0.019081973]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"### [](#4-how-to-choose-embedding-model)4\\. How to choose embedding model\n\nThe key points of choosing an embedding model: accuracy, model memory usage and calculation speed, dimension size, and multi-language support.\n\nAfter testing and trade off these points, I finally chose the sentence-transformers/all-MiniLM-L6-v2 model supported by fastembed.","vector":[0.042601585,0.06172698,-0.039882336,-0.0065677445,0.021119509,-0.052058533,-0.00325177,0.08224221,-0.06985451,0.019080073,0.02769103,0.014336491,-0.0026229434,0.035078328,0.038583137,0.05716468,0.039610412,0.02605948,0.0083088195,-0.008391908,-0.036830734,-0.0678604,-0.0027305803,-0.03867378,0.061364412,0.011828738,0.056983396,0.023627263,-0.063811734,0.07487002,0.056499977,-0.023717904,0.006809456,-0.05879623,-0.030546244,-0.10133739,0.11233524,0.08786199,-0.059944358,0.08375291,0.061636336,0.054536074,0.00813509,-0.06979409,-0.037888218,-0.034897044,-0.06616842,-0.06423473,0.010967642,-0.13124914,0.021285687,-0.072332054,0.030259212,-0.028703196,-0.048493296,0.08641173,0.008346587,0.05973286,0.14502667,0.04846308,0.019397318,-0.02991175,-0.01335454,-0.02309852,-0.05251174,-0.033174854,0.01923114,0.04743581,-0.02368769,0.02818956,-0.025802663,0.008603405,-0.023325123,-0.053146236,-0.024004936,-0.02201082,0.013596251,0.06997537,0.0040902053,0.06320746,0.060457997,0.014344045,0.010295384,0.0050041755,0.077166274,-0.013520716,-0.032419506,-0.10321065,-0.042933937,-0.017947052,-0.09324007,-0.029957073,-0.010348258,-0.02220721,-0.04930907,-0.007134255,-0.02838595,0.03169437,-0.07136521,0.0067716883,0.031422447,0.023461087,-0.021738894,-0.040667895,0.07837483,-0.02492646,-0.0094267335,0.080852374,-0.020439697,0.03846228,-0.025183277,-0.061696764,-0.021980606,-0.022071248,0.011390637,-0.056802116,-0.010166974,-0.13221599,0.07142564,-0.09626146,0.033265494,0.07505131,0.010401132,-0.026391834,-0.08774114,0.09801386,0.01685935,0.10731974,0.07142564,-0.057527248,0.09589889,0.055200778,-0.006412898,0.03649838,0.097047016,0.04239009,0.005823727,0.03664945,0.053780727,-0.022675525,-0.051695965,-0.082665205,-0.08538446,-0.022735953,-0.075595155,0.057738744,0.019926062,0.08151708,0.044474848,-0.03486683,-0.042148378,-0.06205933,0.033144638,0.060457997,-0.0045925113,-0.029413223,-0.032812286,0.034987684,0.02888448,0.07160692,0.04130239,-0.064053446,0.038492497,0.027162287,0.034594905,0.06876682,-0.0026588223,0.006635726,-0.1215807,0.0469826,0.03710266,0.120492995,0.052904524,0.047314953,-0.08224221,-0.012078003,0.04302458,-0.01938221,0.012584086,0.062482327,0.0024020043,0.055653986,0.011428405,0.016557213,0.034987684,0.029020442,0.084901035,0.09861814,0.05924944,0.015167373,0.049158,0.028642768,0.023944508,-0.0036294437,0.043538217,-0.03797886,0.07366147,0.048916288,0.023642369,0.052995164,-0.0033329697,-0.025727129,-0.01083168,0.002749464,0.023642369,-0.086532585,0.07130478,0.012765368,-0.004456549,-0.06719569,0.08230264,-0.033265494,-0.05365987,-0.026150122,0.018929003,0.036317095,-0.007678105,-0.046408538,-0.023445979,-0.07771013,0.038583137,0.038613353,0.08828499,-0.1161422,-0.101458244,-0.01775066,-0.007870719,-0.016043575,0.049520567,0.024594108,0.081275366,-0.045955326,0.013981478,0.011103605,-0.032268435,0.008278606,0.00432814,-0.11958658,-0.06520157,0.08260478,0.020016702,-0.0075270357,-0.027041432,-0.054989282,0.013860622,-0.033053998,-0.015816972,-0.030697312,0.0064393356,-0.024971781,-0.02823488,-0.027796779,0.024503466,0.058040883,-0.014955875,0.047919232,0.07124435,-0.004426335,0.016164431,-0.02205614,0.033507206,-0.026724186,-0.0624219,0.06151548,-0.06973366,-0.055714414,0.14430155,-0.113241665,0.054264147,0.02250935,0.037948646,0.001051821,-0.012183751,-0.028174452,-0.008988633,-0.058222167,-0.016481677,-0.013490502,0.06308661,-0.0404564,-0.0063335868,0.076380715,0.008822456,0.07710585,-0.06695398,-0.070760936,-0.027509747,-0.09934327,-0.03510854,-0.10302937,-0.022781273,-0.02586309,0.021149723,-0.016360821,-0.012871117,0.027796779,0.0101141,0.010499327,0.033567633,-0.027630603,-0.071123496,0.018415367,0.03130159,-0.030108143,-0.0034198347,0.048825648,0.040335543,0.057285536,-0.06719569,-0.047314953,0.077830985,-0.013195917,-0.042510945,0.006382684,0.014940769,0.03906656,-0.05251174,-0.017282346,-0.00470959,-0.019246249,0.011889166,-0.03441362,-0.08302777,0.053931795,-0.012236626,0.019623922,0.03105988,0.027630603,0.064476445,0.053267088,-0.073963605,-0.11154968,-0.092575364,0.0104917735,-0.04565319,-0.04287351,-0.06798125,-0.015499726,-0.004898427,-0.041362815,-0.012561425,-0.04746602,0.0032989793,0.003404728,0.027857207,-0.03462512,-0.007810291,0.012553872,-0.0021470746,-0.037918434,0.0020186657,-0.05940051,0.057950243,-0.032600787,-0.025742235,-0.11541706,0.02818956,-0.0015144713,-0.052662812,0.09595932,-0.026391834,-0.024095578,-0.08985611,-0.0056990953,-0.005457384,-0.08133579,-0.032268435,0.01355093,0.016919779,-0.00033046442,-0.025062423,0.03873421,0.02201082,-0.058947302,0.015786758,-0.043659072,0.13741277,-0.0082559455,0.0008138867,0.090520814,-0.06435559,-0.0034859276,0.025923518,-0.0036086715]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"**Welcome to star, All code for the entire project has been open source**：\n\n[https://github.com/memfreeme/memfree](https://github.com/memfreeme/memfree)\n\nFeel free to reach out if you have any questions or feedback!","vector":[-0.0342564,0.062254418,-0.03514575,-0.015448319,-0.029727308,-0.07305836,0.07444179,0.109488726,-0.0028718556,0.107117124,0.03272474,-0.048551857,0.060838047,-0.025774647,0.056061916,0.022974845,-0.020076226,0.012450884,-0.04216172,-0.03537632,0.044368625,-0.046377894,-0.031258963,-0.056687754,0.029496737,-0.024770012,0.0428205,0.007913558,-0.027767448,-0.0073947706,0.04973766,-0.038176123,-0.008000022,0.057148896,0.012121495,-0.0083129415,0.05790649,0.04084417,0.022398416,0.04114062,0.026433423,-0.09051595,-0.018017549,0.026136974,0.019302163,0.15823822,0.06871043,-0.056687754,-0.010449849,-0.035013992,0.05392089,0.046147324,0.067458756,-0.029859064,-0.0039608963,0.006950096,0.047201365,-0.05843351,0.049540024,-0.04558736,-0.029167349,-0.050989334,-0.0083994055,-0.0047020204,0.015604778,0.020405615,-0.005476083,0.06281438,0.017424649,-0.012763803,-0.03402583,0.00306743,-0.015110696,0.1517822,0.071082026,-0.04117356,0.0131508345,-0.011717995,-0.025181748,0.009428744,-0.015110696,0.038373753,0.04907888,-0.05681951,0.035903342,-0.018808082,-0.053756196,-0.17786977,-0.07720865,0.0012557935,0.027487466,0.089593664,-0.026334608,-0.03843963,0.13037196,0.03132484,0.01184975,0.02201962,-0.0880126,-0.032362416,-0.020735003,0.067458756,-0.011553301,-0.036298607,-0.025906403,-0.032708272,0.0040370673,-0.024654726,0.035244565,-0.041008864,0.004059713,0.065021284,-0.028854428,0.0018486927,-0.0330706,0.035903342,0.017045852,-0.048683614,-0.060080454,-0.09321693,-0.02057031,0.025758177,-0.08590451,-0.032000087,0.012187373,0.05026468,0.01212973,-0.058038246,0.053558562,0.011446249,-0.07417828,-0.06864455,-0.025807586,-0.038011428,0.13254592,-0.014616612,0.046575528,0.13610332,0.010647482,0.0009068476,-0.002830682,-0.02771804,-0.07542995,0.06884219,-0.047827203,0.030896638,-0.07127966,-0.010853349,-0.06406605,0.072531335,-0.06666822,-0.010235746,0.068908066,0.011240381,0.022678396,0.038406692,-0.09295342,0.011734464,-0.005229042,0.02085029,0.004928475,0.0069748005,0.0770769,0.03135778,-0.0826765,0.029513206,0.023781847,-0.03053431,-0.08992305,0.07200432,0.07490294,0.07595698,-0.011125095,0.020520901,-0.04397336,-0.030666064,0.091767624,-0.014789541,-0.060574535,-0.10547018,-0.018297529,0.050363496,-0.031440128,-0.006838928,0.03738559,0.04687198,0.014361337,-0.016222382,0.0083129415,-0.11653764,0.070027985,-0.0070777345,0.052833907,0.002869797,0.036397424,-0.018313998,-0.03335058,0.056358363,0.011792107,-0.08946191,-0.03988894,-0.071411416,0.005373149,-0.06307789,-0.092031136,-0.019862125,-0.050561126,-0.06544948,0.03972425,-0.046081446,-0.08550924,0.012179138,-0.06110156,-0.09433685,0.032971784,0.005751946,0.020455023,0.00826765,0.027454527,-0.034388155,0.0064395443,-0.050692882,0.061892092,-0.032477703,-0.1187116,-0.04654259,-0.03168717,0.019911531,0.0034112292,0.043446336,0.03229654,-0.04786014,-0.0501988,-0.006538361,-0.04687198,-0.006064865,-0.008662917,-0.09947532,-0.027355712,0.046970792,0.019252755,-0.01139684,-0.058005307,-0.036430363,0.04848598,0.023205416,-0.04420393,0.03193421,0.027273364,-0.007876501,-0.03906547,0.012072087,0.0058054714,-0.019483328,-0.054349095,0.076088734,-0.024012418,-0.0020535311,-0.059388738,0.016601179,-0.025889933,-0.008728794,-0.07081852,0.020652656,-0.03455285,-0.00060988334,0.06594357,0.027223956,-0.023897132,0.012220312,0.1260899,-0.023106601,0.022744274,0.08517986,0.030633127,-0.0062789675,-0.03257652,0.023156008,-0.04403924,-0.018149303,0.017309364,0.009626377,0.045719117,-0.027158078,-0.048387162,-0.036265668,-0.0030509606,-0.092426404,-0.053558562,-0.0029439093,-0.08412581,-0.00246012,0.030583719,0.0547773,0.07773568,-0.0028224473,-0.01054043,0.049605902,-0.03745147,-0.005509022,-0.039625432,-0.00840764,-0.036100976,0.008580569,-0.032049496,0.026169913,0.038604327,0.016724698,-0.009774602,-0.0826765,0.09697196,-0.11080628,-0.081754215,-0.12852737,-0.021657292,0.085245736,0.006229559,-0.0021142622,-0.056094855,-0.01197327,0.034289338,-0.01966449,-0.14282283,0.044994462,0.083532915,-0.0020041228,0.028673265,0.07654988,0.015044818,0.026136974,0.0106063085,-0.031621292,-0.010351032,-0.01398254,-0.040877108,-0.051779866,-0.03682563,0.013537865,0.13491751,-0.019285694,-0.063967235,-0.02539585,-0.028722674,-0.02198668,0.045521483,-0.0059536966,-0.047497816,0.064296626,0.029859064,0.023353642,0.0019341279,0.013768437,0.08399405,0.043808665,0.0998047,-0.0073535973,-0.03995482,-0.05247158,-0.012014444,0.06689879,0.055996038,-0.037155017,0.039493676,0.066371776,0.12602402,0.023271294,0.040910047,-0.06307789,-0.018017549,0.0094534485,0.071806684,0.02766863,-0.09334869,0.0007817829,0.014138999,-0.100924626,0.047530755,0.0012681455,-0.030122574,0.06456014,0.0559631,-0.005023174,-0.010853349,0.017951671]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"## [](#series-of-hybird-ai-search)Series of Hybird AI Search","vector":[0.030698113,-0.028610785,-0.029978344,0.0040936815,0.03915539,-0.0070042443,0.024724036,0.09299405,-0.034260966,0.06791013,0.07874264,-0.01981162,0.061144307,0.0031804757,-0.013765566,0.031363897,-0.052830983,0.022348803,-0.041674577,-0.14323387,-0.063267626,-0.042862196,-0.061216284,0.054378487,0.023680372,-0.045849234,-0.026685406,0.018606007,-0.10854104,-0.0006134899,0.06542692,0.0183181,0.07406414,-0.017778274,0.0009480696,-0.05139145,0.01226305,0.092058346,-0.0024134726,-0.0013956755,0.06945763,-0.03886748,-0.06629065,0.006491409,0.06697443,0.015924871,0.014611294,0.018102169,0.051211506,-0.022420779,0.035232652,-0.019721648,0.09342591,-0.016194783,-0.0319757,-0.04001911,0.11062837,0.03782382,0.027873022,-0.0024674553,0.029078634,-0.0011696232,-0.031759772,0.011588268,0.0037697859,-0.0686299,0.05088761,0.058733083,0.040199053,0.043330044,-0.022996593,0.032245614,0.008479768,0.03077009,0.035664514,0.002906064,0.04030702,0.042394344,-0.040738877,-0.009312001,0.005501728,0.0064779134,0.03312733,0.010193717,0.13092583,-0.008686702,-0.029492501,-0.22514348,-0.061900064,-0.023158541,-0.10019173,-0.00409818,0.068341985,0.014746251,-0.0055557108,0.025695724,0.012308036,0.005893102,-0.087235905,0.0332173,0.10055161,-0.0431501,0.009208534,-0.050995573,0.053442787,-0.019181821,-0.037463933,0.029294565,-0.066146694,0.180086,-0.062080003,-0.0010802146,-0.040630914,-0.06809007,-0.0047864583,-0.020711329,-0.0860123,-0.1207771,0.027117265,-0.12128094,-0.0101217395,0.016491689,-0.011246378,-0.075431705,-0.06708239,0.016014842,-0.03005032,0.030014332,0.02760311,0.00412967,0.021197172,0.008821659,-0.011273369,0.060748436,0.03667219,0.055889998,-0.018839931,-0.028610785,0.0056771715,0.016932547,-0.14136247,-0.034332942,0.0015666204,-0.024364153,-0.03170579,0.059812736,-0.062403902,0.039911143,-0.06557088,0.016707618,-0.021107202,0.02756712,0.03703207,-0.027099272,0.023230517,0.037607886,0.024364153,-0.0101217395,0.008560742,-0.0015846146,0.1077493,-0.03951527,-0.058373198,0.066146694,-0.0023819827,-0.031057997,0.0038575076,-0.024796013,-0.14568108,0.043977834,0.09688079,-0.034944747,0.0122990385,0.09695277,-0.03915539,0.025695724,0.040522948,0.037751842,-0.09493742,0.032029685,-0.09529731,0.00036719424,0.035430588,0.04365394,0.044913534,0.02666741,0.11264372,0.046892896,0.009010598,-0.055746045,-0.027423168,-0.057545464,0.07557566,0.0050833626,0.032947388,-0.018624002,-0.019127838,-0.030086309,-0.027980987,0.011885172,0.06380745,-0.032389566,0.029546484,0.0019355016,-0.009231027,0.05110354,-0.015520001,-0.053478774,-0.004961902,-0.034117013,-0.050815634,-0.009572917,0.0033739132,-0.08709195,-0.008844151,-0.029420525,-0.0049439077,-0.02875474,-0.039695214,-0.029006658,0.0013799305,0.011750216,0.04476958,-0.014368372,0.00063654495,-0.07456798,-0.019829614,0.0027171248,0.025011944,-0.00903309,-0.036744166,0.028592791,0.010571595,0.045849234,-0.07903054,0.0145932995,0.02781904,-0.050527725,-0.010427642,0.01806618,-0.026811365,0.0245261,-0.054558426,-0.012065114,0.09047486,-0.026217556,-0.023014586,-0.020387433,-0.0050428757,0.03821969,0.060964365,0.0391194,-0.014197427,0.031075992,-0.04768464,0.03247954,0.07136501,0.05768942,0.019145833,-0.018857926,-0.096233,0.044517662,0.0003452638,0.06391542,-0.041278705,-0.022240836,0.08183764,-0.04386987,-0.050383773,0.00444007,0.048548363,-0.07694322,0.0013326957,0.06193605,0.025065927,-0.08824358,-0.028430844,0.052507088,0.074208096,-0.018641995,-0.0025304349,0.028880699,0.09695277,-0.016230773,-0.11228383,-0.08982707,-0.04437371,0.0070177396,-0.0220429,-0.04815249,-0.01844406,-0.019379757,0.01968566,-0.015160117,0.072012804,0.07377624,0.11091627,-0.04120673,0.006073044,-0.045957197,-0.038579576,-0.058697093,-0.0014609045,0.0031489858,-0.06819803,0.06567884,0.077950895,0.087811716,-0.024849996,-0.06603873,0.037248004,-0.04365394,-0.06783815,0.0005454493,-0.027837034,0.041026786,0.090258926,0.026631422,-0.0009739363,-0.06877385,0.082197525,-0.051427435,-0.095801145,0.056897674,-0.013306714,0.0841409,0.0499879,-0.003232209,-0.006082041,0.03296538,-0.03607838,-0.022654703,-0.07737508,-0.027027294,-0.02601962,-0.09428963,0.014692267,0.053730693,0.047324758,-0.03872353,-0.025011944,-0.019919584,0.019361764,-0.072984494,-0.098968126,-0.048188478,-0.0010363538,-0.017652314,0.00596058,0.015942864,0.0021784233,-0.04289818,0.011399329,-0.07888659,-0.013981497,-0.0039632237,-0.021611039,-0.00055079133,0.02850282,0.12272047,-0.02092726,-0.08270136,0.022492755,0.05427052,0.09731266,-0.034045033,0.011444314,-0.00092164066,-0.07122106,0.029474506,-0.029672442,0.05200325,-0.0022683945,0.040846843,-0.10422243,-0.05628587,0.067442276,-0.023482436,0.031867735,0.030374218,-0.0011454435,0.0056141918,-0.054666393,0.012766888]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"* [Hybird AI Search 1 - How to build Fast Embedding Service](https://www.memfree.me/blog/fast-local-embedding-service)\n* [Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB](https://www.memfree.me/blog/serverless-vector-search-lancedb)\n* [Hybrid AI Search 3 - The Full Tech Stack](https://www.memfree.me/blog/hybrid-ai-search-tech-stack)","vector":[0.0077818776,0.023808,-0.04843102,-0.009560817,0.03482645,-0.0057835104,0.049026612,0.09911902,-0.056988735,0.054104816,0.06225502,0.028086858,0.02448196,-0.02529698,-0.014012082,0.06432392,-0.03667592,-0.03136261,-0.02402743,-0.070029065,-0.073916085,-0.041910857,-0.07379069,-0.03266351,0.060280163,-0.01992098,-0.014403919,0.029199675,-0.050844736,0.019889632,0.07122025,-0.028447347,0.0034481634,-0.008416654,-0.011120327,-0.04689502,0.08595331,0.04548441,-0.015767511,0.014490123,0.049152,0.020579265,-0.08582792,-0.013048164,-0.0012489796,-0.009027919,0.005148735,-0.035045877,0.014748735,-0.106830366,0.055578124,-0.065640494,0.07611037,-0.040813714,-0.044732083,-0.048995268,0.083759025,0.03410547,0.074480325,-0.016754938,0.0017221224,-0.020203102,-0.036205716,-0.035704166,-0.009451102,0.08231706,0.013330286,0.09147037,-0.052568816,0.029685551,-0.048117552,0.05633045,0.022036899,-0.002358857,0.011614041,-0.038494043,0.0078798365,0.023087021,0.014552817,0.018729797,0.11585829,-0.055578124,0.040437553,-0.003477551,0.1394312,0.0023902042,-0.02647249,-0.15585698,-0.02647249,0.016613878,-0.10883658,-0.044073798,0.044293225,-0.033635266,0.008651755,0.02349453,-0.030923756,0.0048235105,-0.041127186,0.04749061,0.035798203,-0.023196734,0.00496849,-0.047396574,0.03564147,0.02724049,0.024105797,0.07228604,-0.01456849,0.06770939,0.012045061,-0.028478695,-0.028086858,-0.013588898,-0.029011592,0.026221715,-0.006821878,-0.15523005,0.03974792,-0.09184653,0.040939104,-0.007433143,0.020579265,-0.049120653,-0.058524735,0.05579755,-0.027491266,-0.05570351,0.05727086,-0.018917877,0.008400979,0.012460409,0.002529306,0.039309062,0.087144494,0.03934041,0.051659755,0.05532735,0.072160654,-0.0062419595,-0.055170614,-0.07435494,-0.07968392,-0.03645649,-0.05172245,0.045641143,-0.05212996,-0.0033952654,-0.019811265,-0.021378612,-0.12914939,-0.0061596734,0.08419788,0.022444408,0.024387918,-0.055296,-0.03035951,-0.036393795,-0.0015399184,0.101877555,0.06432392,-0.09147037,0.0015222857,0.09429159,0.032506775,0.029246695,-0.0037577143,-0.04905796,-0.071094856,0.0563618,0.07422955,0.08344555,0.021472653,0.021786124,-0.088147596,-0.021112164,0.07228604,-0.046236735,-0.015853714,0.017836409,0.0053368164,0.04755331,0.03021845,0.029826613,-0.006402612,-0.01596343,0.10181486,0.03874482,0.072599515,-0.06338351,0.022444408,-0.047271185,0.065640494,-0.041221224,0.0076094694,-0.08958955,0.05194188,0.023996081,-0.011441633,-0.00013763265,-0.009748898,-0.077301554,-0.008761469,0.06300735,0.04955951,-0.0017436735,0.018055838,-0.028525716,-0.027099429,-0.036989387,-0.03194253,-0.0028760817,-0.07918237,-0.11654792,0.01761698,0.0064692246,-0.049841635,0.02868245,-0.07360262,0.015759673,-0.029701225,-0.041127186,0.04250645,-0.0064692246,-0.04905796,-0.08313208,-0.009114123,-0.0665182,0.06501355,0.0012754286,0.053822696,0.020109061,0.004831347,0.011167347,-0.005387755,-0.053540573,0.063979104,-0.120058775,-0.048211593,0.06369698,-0.035171267,0.027381552,-0.032694858,-0.02222498,-0.017413225,-0.04955951,-0.03520261,-0.02136294,-0.018996246,-0.005462204,0.02131592,0.01596343,0.03256947,-0.012045061,-0.016613878,0.04742792,0.03175445,0.020924082,-0.029215347,-0.04557845,-0.022977307,-0.035045877,-0.03460702,0.06601665,-0.04466939,-0.050562613,0.052380737,0.0030857143,-0.032694858,0.072160654,0.050813388,-0.034889143,0.012421225,0.10739461,0.025453715,-0.06062498,-0.008800653,-0.013095184,0.04169143,-0.044606693,0.0028976328,0.02100245,0.06476278,0.05817992,-0.10074906,-0.06582857,-0.033008326,-0.055484083,-0.0128130615,-0.046957716,-0.015148409,0.0060421224,-0.029920654,0.022193633,0.038462695,0.0014331429,0.09479315,0.008455837,0.022554124,-0.046644244,-0.05448098,0.028854858,-0.015563755,0.0030837553,-0.07128294,0.041127186,0.014278531,0.05153437,-0.021143511,-0.0075115105,0.036581878,-0.010336653,-0.005078204,-0.05733355,0.059057634,0.095169306,0.078618124,0.058869552,0.009748898,-0.07190988,0.024967838,-0.059966695,-0.21554156,0.089965716,0.01838498,-0.025375348,0.110592,0.022177959,0.03093943,0.03338449,-0.031049144,-0.10325682,-0.04905796,0.018510368,-0.06921404,-0.08513829,-0.053509224,0.06122057,0.025391022,-0.054857142,-0.046048652,-0.025735836,-0.0015693061,-0.013126531,0.022381715,-0.0146860415,-0.02140996,0.045233633,0.048086204,-0.057020083,0.0018269388,-0.024607347,0.0456098,-0.06727053,-0.013706449,-0.08281861,-0.018604409,0.028604083,-0.0716591,0.14381976,0.009458939,-0.06902596,-0.008495021,0.09504392,0.031519346,-0.026832981,0.04959086,-0.026550857,0.022554124,0.039183673,0.0060734693,0.04360359,-0.07128294,-0.018776817,-0.09943249,-0.05153437,0.09679935,-0.050437227,0.016112328,0.05849339,0.051785145,-0.030735673,-0.012389878,0.012899266]}
{"create_time":1723175232560,"title":"Hybrid AI Search 1 - how to build fast embedding service","url":"https://www.memfree.me/blog/fast-local-embedding-service","image":"","text":"* [Hybrid AI Search 4 - Get tweet content fast and free](https://www.memfree.me/blog/tweet-content-fast-free)","vector":[-0.019825254,0.044916317,-0.02624187,-0.007401777,0.04568352,-0.021882756,0.02540492,0.07846407,-0.04721793,0.07316338,0.07727838,-0.015457421,0.05314633,-0.079301015,-0.052518614,0.045613777,-0.042475216,-0.020418094,0.05757519,-0.11180258,-0.0648985,0.023173055,-0.039615635,-0.10141045,0.03570987,-0.03293747,-0.0021130808,0.0146814985,-0.019371906,0.037348896,0.07999847,0.013574284,0.059562944,-0.044916317,0.018221099,0.012597842,0.033495437,0.046764582,0.016468735,-0.012693742,0.10078274,-0.0017817882,-0.059353705,-0.052553486,-0.0061725066,0.023329983,0.042963434,-0.07434906,0.05080984,-0.034559064,0.14276972,0.043033183,-0.0015562039,-0.019511398,-0.031054333,0.00025024044,0.10022476,-0.09290145,0.072744906,-0.08174212,0.008971058,-0.009084395,0.07483728,0.0038120458,-0.10168943,-0.08557814,-0.0054837666,0.05440175,0.011438318,0.063259475,-0.03909254,0.09401739,0.023120744,0.03633758,0.028735284,-0.04993802,0.0010064106,0.018447774,0.0026438031,0.08167238,0.0038273027,0.018116482,-0.017392868,0.02240585,0.114801645,-0.024201805,-0.03609347,-0.18343155,-0.03077535,0.014542007,-0.14800066,0.038569447,0.05928396,-0.012911698,0.026555726,-0.016930802,-0.019982181,0.0046075843,-0.082369834,0.052413996,0.07755737,-0.05314633,0.0062160976,-0.034245204,0.048089754,-0.02013911,-0.013260427,0.016808746,0.057923917,0.05879574,-0.0431378,-0.021394536,-0.056529,-0.047113314,0.039894618,0.0065561086,-0.03295491,-0.070722274,-0.008186418,-0.057644933,-0.0060984017,-0.03255387,-0.005461971,0.03930178,0.034559064,0.03633758,0.007066125,-0.011290107,0.03595398,-0.072605416,-0.01398404,0.02146428,-0.063364096,0.03860432,0.08209085,0.0056145396,-0.0051393965,0.04087106,0.07511627,0.008378219,-0.0769994,-0.084043734,-0.025875704,0.0029140683,-0.07462805,0.045369666,-0.03333851,0.025282865,-0.0062945616,0.055517685,-0.039894618,-0.022998689,0.03274567,-0.04062695,0.010531621,-0.0019060229,-0.05091446,0.018552393,-0.028386556,0.07190796,0.03588423,-0.027689097,0.012981444,0.026852148,0.027166003,-0.0166431,-0.023731021,-0.038429957,-0.0062509705,0.089414164,0.06943198,0.026381362,0.027758842,0.048438482,-0.026520854,-0.009145423,0.020854006,-0.09150654,-0.051332936,0.017541077,-0.052413996,0.02753217,0.01792468,0.013792239,-0.012571687,0.07560448,0.06632829,0.05053086,0.05785417,-0.064933375,-0.073651604,-0.042231105,0.041882373,-0.0032976703,0.05736595,-0.066467784,-0.0006282574,-0.016355399,-0.05998142,-0.06733961,0.079301015,-0.090041876,-0.045334794,0.031333316,-0.0006091863,0.017811343,0.01009571,0.02505619,-0.07061766,-0.0027397037,-0.0017240299,-0.07190796,-0.010278793,-0.11584783,-0.009380815,0.02561416,-0.006952788,-0.033216454,-0.034402132,0.03018251,-0.060504515,-0.03801148,-0.015588194,-0.0127111785,-0.03210052,-0.07358186,-0.0072710034,-0.07511627,0.053355563,0.011882947,-0.04289369,-0.11117487,0.0215689,0.07246593,-0.09073933,-0.041498773,0.047845643,0.0038730735,-0.049449798,0.039964363,-0.03703504,0.08760077,-0.047601532,0.0026655986,-0.0038490985,-0.03672118,-0.034070842,-0.11766122,-0.05401815,0.04550916,-0.028386556,-0.03776737,0.08334628,0.11626631,0.07239618,0.0829278,0.035186775,-0.012057312,-0.015989233,-0.007445368,0.009677235,0.006713037,0.0010527262,0.07588347,-0.053739168,-0.011760891,0.12045106,-0.047113314,-0.0029554798,0.03679093,0.069013506,0.016521044,0.07720864,0.035779614,0.02383564,-0.07951026,-0.052658107,0.00389051,0.012990162,-0.043870132,0.002225328,0.075325504,0.09276196,0.059109595,-0.11117487,-0.06796732,-0.025300302,-0.06782783,0.049868274,-0.057923917,-0.03471599,0.0072622853,-0.03220514,0.03836021,-0.025666468,0.039371524,0.0829278,0.0658052,0.03544832,-0.006486363,-0.0217607,0.016468735,-0.024986446,0.0134871015,-0.0042871893,0.0077287103,0.050217003,0.037593007,0.0332862,-0.04718306,0.049624164,-0.0044397586,-0.040208474,-0.016477454,0.017201066,0.041917246,0.026904456,-0.020993497,0.008347705,-0.04826412,0.027235748,-0.052797597,-0.112639524,0.0862756,-0.053111453,0.068804264,0.066467784,0.042265978,0.13809675,0.01156909,-0.08781001,-0.06486363,0.013530692,0.0151958745,0.007096639,-0.08920492,-0.03077535,0.026520854,0.06385231,-0.026102379,-0.03185641,-0.022004811,0.0578193,-0.06420104,0.045369666,-0.010392129,-0.007881279,-0.0014799194,0.02313818,-0.02367871,0.0021937245,-0.0217607,0.07951026,-0.045788143,0.01290298,-0.012362449,-0.034977537,-0.0075674234,-0.019616017,0.10566494,0.03511703,-0.1113841,0.05328582,-0.002983814,-0.006373026,-0.0531812,0.0069658654,-0.03717453,-0.0280727,0.034262642,0.051681664,-0.0023473834,-0.09255272,0.060678877,-0.106083415,0.025317738,0.03930178,-0.021743264,-0.013434792,0.058865488,0.05966756,-0.027985517,0.001546396,0.011630118]}