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A high-performance vector database designed to handle up to 1 billion vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available as a cloud service.
A high-performance vector database designed to handle up to 1 billion vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available as a cloud service.
A Data Agent Ready Warehouse unifying Analytics, Search, AI, and Python Sandbox in one system. Runs on your S3 with built-in vector search, full-text search, and Python execution for AI-powered data analysis.
A PostgreSQL vector database extension for building AI applications, adding high-performance vector search capabilities to PostgreSQL with support for generating and indexing embeddings directly in the database.
An open-source graph-vector database built from scratch in Rust, combining graph database and vector retrieval capabilities to provide AI agents with unified storage for both knowledge graphs and semantic search.
EmbedAnything is a highly performant, modular, and memory-safe embedding inference and indexing framework built in Rust, providing production-ready RAG ingestion and indexing pipelines for local and cloud deployment.