RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

LEANN is an innovative vector database that democratizes personal AI. Transform your laptop into a powerful RAG system that can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss.

Related contents:

• LEANN - L'IA personnelle qui écrase 97% de ses concurrents (en taille) @ Korben :fr:.

the AI-native open-source embedding database. The fastest way to build Python or JavaScript LLM apps with memory! Chroma is the open-source AI application database. Batteries included.

Embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal. All in one place. Retrieval that just works. As it should be.

• Chroma @ GitHub.

Related contents:

• ChromaDB: An Open-source vector embedding database @ Futuresmart AI Blog.

A vector search SQLite extension that runs anywhere!

• Veille de la semaine du 5 août 2024 @ Veille de la semaine's Substack :fr:.
• sqlite-vec now supports metadata columns and filtering @ Alex Garcia's Blog.

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.

• PGvector.rs documentation.
• PGvector.rs @ GitHub.

The most powerful vector database for building AI applications. Open-source PostgreSQL database extension for vector data and vector search operations.

Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.

• Lantern @ GitHub.