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/

An intelligent codebase Q&A system powered by Endee vector database that allows you to upload code, ask questions in plain English, and get context-aware, cited answers. Implements RAG, semantic search, file recommendations, and agentic AI for complex queries.

RAG-based Insurance Policy Q&A using Endee Vector DB + OpenAI GPT | FastAPI | Docker

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.

RAG-powered document Q&A system built using Endee Vector Database and FastAPI

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

Production-ready RAG AI Assistant built using Node.js, React, Ollama, and Endee Vector Database.

Semantic Search + Question Answering RAG system using Endee Vector DB

Echo-Ops: Autonomous Infrastructure Observability Agent powered by Endee Vector DB and LLM. Detects architectural entropy in log streams via semantic drift analysis.