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A little curiosity. A world of open source.
THE FIRST COLLECTIONDeep Lake is a serverless multimodal database for AI that combines vector search with storage for embeddings, images, video, audio, and documents. It streams data directly from cloud storage to PyTorch/TensorFlow, supports versioning, and integrates with LangChain, LlamaIndex, and Weights & Biases.
OpenViking is an open-source context database for AI agents that unifies memory, knowledge RAG and skills under a virtual filesystem (viking://). It offers layered context loading, directory-scoped retrieval, session-to-memory extraction, SDKs, MCP integrations and a self-hostable server.
