RAGatouille

AI Data Runtime for Agents. Provides serverless Postgres with a multimodal datalake, enabling scalable retrieval and training. Unifies vector storage, dataset management, and streaming data loading for AI agent workflows.

A lightweight, lightning-fast, in-process vector database by Alibaba with C++ core, Node.js and Python bindings, designed for RAG, agent memory, and vector search use cases.

Chroma is an open-source AI-native embedding database designed for building LLM applications. It provides simple APIs to store embeddings and perform similarity search, making it ideal for RAG applications.

ColiVara is a suite of services for storing, searching, and retrieving documents based on visual embeddings. It uses vision models instead of chunking and text-processing, achieving state-of-the-art retrieval on both text and visual documents without OCR.