Text Embeddings Inference

All-in-one platform for search, recommendations, RAG, and analytics offered via API. Built in Rust with vector search, full-text search, and semantic reranking for enterprise-grade AI retrieval applications.

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.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

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.