Open source. Open possibilities.

LEANN is a lightweight vector database designed for personal RAG applications, reducing storage requirements by up to 97% through graph-based selective recomputation.

LightRAG is a lightweight graph-based retrieval-augmented generation framework from HKUDS, offering dual-level retrieval, knowledge-graph indexing, multimodal parsing, multiple storage backends and an API server with WebUI.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows.

Deep 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.