minilm-l6-v2

ChefMate is an AI-driven recipe assistant that uses Retrieval-Augmented Generation and a local LLM to provide context-aware cooking suggestions. It supports ingredient queries, recipe generation, and dietary filters through semantic search and real-time chat.

Multi-agent memory MCP server in Go to share typed memories across Claude Code, Codex, and more

KnowMore is an AI-powered knowledge repository designed to organize, retrieve, and reason over large collections of institutional knowledge using modern Retrieval-Augmented Generation (RAG) techniques.

VALORA AI is a Multimodal Pricing Prediction Model that uses textual and visual data to make precise predictions on product prices

A minimalistic Android app showcasing semantic search using ObjectBox and Lucene KNN, leveraging the MiniLM-L6-V2 embedding model and bert_vocab.txt for efficient retrieval.

A comprehensive comparative analysis system that implements and evaluates two approaches for answering questions based on company financial statements

Chat with your PDFs using FastAPI, LangChain, Qdrant, and Gemini — an async RAG pipeline built with love

The Sankalpiq Foundation AI Automation Suite is a comprehensive microservices-based Multiagent designed to automate critical NGO operations through intelligent micro agents. The solution addresses operational bottlenecks by implementing specialized micro-agents that handle specific organizational functions while maintaining seamless integration.

CoreML conversion of all-MiniLM-L6-v2 with a full SwiftUI demo, tokenizer implementation, model resources, and conversion script for easy on-device text embeddings.

ACRE (Adaptive Cognitive RAG Engine) is a RAG engine that reasons like a researcher: it decomposes questions, retrieves and critiques evidence, resolves contradictions across sources, and renders its reasoning as a live concept flowchart — not just a wall of text.

Local RAG precursor demonstrating early PDF extraction, FAISS vector indexing, and LangChain similarity search.

Light Weight Speech Command Classifier for Edge Deployment

A financial GenAI assistant that combines LLMs, RAG, AI agents, and SQL querying to allow users to interact with financial data, documents, and APIs using natural language.

Phishing URL detection using ML & LLM models

Intercept. Classify. Replace. Dual MiniLM-L6-v2 AI moderation for Discord. Target-aware placeholder deployment in 2-12ms. Zero logs. Zero drama.

Fully local and open-source AI study companion for lecture PDFs - with slide summarization, smart Q&A, and flashcard creation using LangChain and Hugging Face Transformers.

Improving retrieval quality for trading documents using all-MiniLM-L6-v2

Detect and analyze resource leaks in Android apps using method signature matching and NLP-based similarity detection.

SemEval 2026 Task 8: Multi-Turn Retrieval-Augmented Generation (MT-RAG) - Implementations for Subtasks A, B, and C using Milvus, pgvector, MiniLM, Qwen models, and cross-encoder reranking.

The MCP tool can then be used inside VS Code / MCP-enabled clients to search local internal documentation using natural language. Uses persistent embedding using minilm-l6-v2, supports multi format embedding and semantic retrieval .