Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

This project is a semantic search system using transformer embeddings and the Endee vector database. It turns text documents into vectors and finds the most relevant ones based on meaning, enabling smarter search beyond keywords.

Production-ready RAG system with Endee vector database featuring hybrid search (semantic + BM25), neural re-ranking, and Streamlit UI for AI/ML knowledge base querying

Semantic Search + Question Answering RAG system using Endee Vector DB