Best Open Source Data Platforms for AI

Open-source vector database designed for AI applications. Store, search, and retrieve embeddings with semantic similarity matching and metadata filtering.

Open-source vector database designed for building powerful, production-ready AI applications with hybrid search capabilities and flexible deployment options.

Deep Lake is an open-source database for storing, querying and managing complex AI data like images, audio, and embeddings.

Letta is an open-source platform for creating AI agents with built-in memory, reasoning, and support for thousands of tools.

Integrate graph AI into your products to extract valuable insights and reduce costs from your data.

Universal memory layer for LLM applications that learns from user interactions, reduces token costs by 80%, and delivers personalized AI experiences.

Add persistent memory to LLM apps with millisecond recall times. Store, retrieve, and personalize user data across sessions with enterprise-grade security.

Laminar is an open-source platform that helps collect, understand, and utilize data for building high-quality LLM applications.