h2oGPT

ClickHouse is a columnar OLAP database with vector indexes (ANN via AMM, brute-force), supporting SQL queries over vectors + structured data at petabyte scale. Excels in aggregations with vectors. For analytics workloads with embeddings; faster ingestion than Postgres pgvector for big data.

Decentralized vector database built on Arweave network with HNSW index implementation, providing privacy-preserving vector search capabilities for Web3 and AI applications.

Swiss-based sovereign AI platform for enterprises needing full data control. Features cryptographic verification, zero-data-retention architecture, and complete model lifecycle management.

Open-source Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone, providing automatic chunking, embedding, chat history management, and query optimization.

Open Source RAG Framework designed to be 'Conventional but Configurable', streamlining the creation of RAG applications with efficient data management, embeddings generation, and vector storage.

Python toolkit for efficient RAG research providing 36 pre-processed benchmark datasets and 23 state-of-the-art RAG algorithms in a unified, modular framework for reproduction and development.