Open source. Open possibilities.

TalaDB is an embedded vector and document database designed for on-device AI, providing a unified TypeScript API across Browser, Node.js, and React Native.

HelixDB is an OLTP graph-vector database built in Rust on object storage, designed for knowledge graphs and AI memory.

Chroma is an open-source data infrastructure designed for AI, providing vector, hybrid, and full-text search capabilities.

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.

KAG is an open-source framework from OpenSPG that combines knowledge graphs with LLMs for logical reasoning and factual Q&A over professional domain knowledge bases, using logical-form-guided hybrid retrieval and reasoning.

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

Vector Watcher is a cross-platform desktop GUI for exploring and managing LanceDB vector databases. Built with Tauri, React and TypeScript over a bundled Python/FastAPI sidecar, it offers connection management, schema inspection and similarity search across local or remote instances.

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.

Qdrant is a high-performance vector similarity search engine and database written in Rust, designed for AI applications requiring semantic search and large-scale vector management.

Faiss is a C++ library with Python wrappers for efficient similarity search and clustering of dense vectors, supporting CPU and GPU indexes, quantization, and billion-scale datasets.

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.

ParadeDB is a Postgres extension that integrates full-text search, vector retrieval, and analytics into a single database.

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