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A documentation querying engine, useful for scanning the docs in a question-answer like manner

Visual tool to compare 6 RAG chunking strategies side-by-side with grading and query selection

Enterprise multi-source RAG platform with multimodal embedding, hybrid vector/BM25 retrieval, MCP & RBAC support

In-memory vector database with pluggable indexing algorithms, metadata filtering, and a FastAPI-based REST API.

NeuralCache is a drop-in reranker for Retrieval-Augmented Generation (RAG) that learns which context the model actually uses.

WMB-100K — The first 100,000-turn benchmark for AI memory systems

An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately deployable with vector search and a modern frontend.

A Microsoft .NET native client for Weaviate

AI powered Google Calendar events summarizer built using Next.js, Supabase and Google Gemini

NeuroLens is a premium, state-of-the-art Document Retrieval-Augmented Generation (RAG) system. It combines an immersive, holographic, sci-fi-themed React frontend with a high-performance FastAPI backend.

Voice Assistant with GPT abilities

Deterministic context database for AI agents. Same query → same context, every time.

FloatChat AI is a conversational AI platform for ARGO Ocean Data Discovery and Visualization, providing accurate and interactive tools to explore oceanographic data. Built with Python, LangChain, Pandas, and machine learning models, it makes complex ocean data accessible and actionable for researchers and enthusiasts.

AI News Scraper & Semantic Search: A Python application that scrapes news articles, uses GenAI to generate summaries and identify topics, and provides semantic search capabilities through vector embeddings

This is a repository to let you know the implementation of a basic RAG pipeline using LangChain in Supabase Edge Functions.

Persistent memory and identity protocol for AI systems with evidence-aware recall and inspectable memory.

Part of the LangChain.NET project. Has separate abstractions, does not contain dependencies on the main project and can be used independently

QDrant-NLP

No longer maintained, please see the TypeScript client