Airweave

Airweave is an AI-powered search platform designed to enable intelligent and context-aware information retrieval across multiple applications and datasets. It combines semantic search with traditional keyword-based methods, using advanced algorithms to deliver relevant results that consider context, recency, and source credibility.

The app supports hybrid search techniques such as semantic vector search and BM25 keyword search running in parallel, followed by result fusion and re-ranking. This approach enables users and AI agents to efficiently fetch ranked content chunks with citations or generate synthesized summaries based on those sources. Airweave also allows flexible search customization, including query expansion, filtering irrelevant sources, and weighting more recent data to fine-tune results dynamically.

Airweave is accessible via REST API, Python and TypeScript SDKs, providing easy integration with various tools and workflows. Its features cater to use cases like legal AI assistants, research discovery, and augmenting coding agents with contextual knowledge. The platform supports user-specific data indexing with permission controls, accommodating secure and private data management by limiting indexing to explicitly shared content.

By delivering structured access to relevant information from connected apps and data collections, Airweave facilitates productivity and informed decision-making through sophisticated, AI-driven search capabilities.

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Website: airweave.ai

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