Data Platforms for AI

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

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

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

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

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.

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