Airweave serves as an open-source, shared context retrieval infrastructure that sits between your various data sources and AI systems. It seamlessly connects to over 50 applications, tools, and databases, continuously syncing their data. This aggregated information is then exposed through a unified, LLM-friendly search interface, allowing AI agents to query Airweave to retrieve relevant, grounded, and up-to-date context from multiple sources in a single request. By handling authentication, ingestion, syncing, indexing, and retrieval, Airweave eliminates the need to build fragile pipelines for every agent or integration.
Key Features
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02Supports both cloud-hosted and self-hosted deployment (Docker required)
03Unified context retrieval layer for AI agents and RAG systems
04Exposes data through an LLM-friendly search interface (SDKs, REST API, native integrations)
05Python and TypeScript SDKs available for integration
06Connects to 50+ apps, databases, and documents with continuous data syncing and indexing
