MUST

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Gurubase is an open-source RAG system that lets you create AI-powered Q&A assistants by indexing websites, PDF documents, YouTube videos, and GitHub code repositories.

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

PECOS - Prediction for Enormous and Correlated Spaces

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

? A fast embedded library for approximate nearest neighbor search

? GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

RAG with langchain using Amazon Bedrock and Amazon OpenSearch