Airweave

Airweave is an open-source context retrieval layer designed to sit between AI systems (agents, RAG pipelines) and their data sources. It connects to applications, tools, and databases, syncs their data in real time, and exposes it through a unified search interface. This allows AI agents to retrieve grounded, up-to-date information from multiple sources with a single API call, improving accuracy and reducing hallucinations. The platform is built for developers building AI agents, RAG applications, or any system that needs reliable, real-time access to business data. With SDKs for Python and Node.js, Airweave enables quick integration: create a collection, connect a source (like Stripe), and query it using semantic search. The open-source nature means teams can self-host or use the cloud offering, giving flexibility in data governance. What sets Airweave apart is its focus on context retrieval as a dedicated layer rather than a generic vector database. It handles authentication, incremental syncing, and temporal relevance scoring out of the box. The company recently raised a $6M seed round and has shown a commitment to iterating on developer experience. For AI teams that need to ground their agents in real operational data from SaaS tools or databases, Airweave offers a purpose-built solution that reduces the complexity of building custom data pipelines. However, as a relatively early-stage tool, the integration ecosystem is still growing, and advanced enterprise features may require custom implementation.