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.

使用 Rust 从零构建的开源图向量数据库，融合图数据库与向量检索能力，为 AI Agent 提供同时支持知识图谱和语义搜索的统一存储方案。