Airweave Search

[Airweave]

Open-source context retrieval layer for AI agents and RAG systems.

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What is Airweave?

Airweave connects to your apps, tools, and databases, continuously syncs their data, and exposes it through a unified, LLM-friendly search interface. AI agents query Airweave to retrieve relevant, grounded, up-to-date context from multiple sources in a single request.

Where it fits

Airweave sits between your data sources and AI systems as shared retrieval infrastructure. It handles authentication, ingestion, syncing, indexing, and retrieval so you don't have to rebuild fragile pipelines for every agent or integration.

How it works

1. Connect your apps, databases, and documents (50+ integrations)
2. Airweave syncs, indexes, and exposes your data through a unified retrieval layer
3. Agents query Airweave via our SDKs, REST API, MCP, or native integrations with popular agent frameworks
4. Agents retrieve relevant, grounded context on demand

Quickstart

Cloud-hosted: app.airweave.ai

[Open Airweave Cloud]

Self-hosted

git clone https://github.com/airweave-ai/airweave.gitcd airweave./start.sh

→ http://localhost:8080

Requires Docker and docker-compose

Supported Integrations

[Airtable] [Apollo.io] [Asana] [Attio] [Bitbucket] [Box] [cal.com] [ClickUp] [Coda] [Confluence] [Dropbox] [Intercom] [FireFlies] [Freshdesk] [Github] [Gitlab] [Gmail] [Google Calendar] [Google Docs] [Google Drive] [Hubspot] [Jira] [Linear] [Notion] [Onedrive] [PowerPoint] [Salesforce] [ServiceNow] [Sharepoint] [Slab] [Slack] [Slite] [Stripe] [Trello] [Zendesk] [Zoom]

[View all integrations]

SDKs

pip install airweave-sdk        # Pythonnpm install @airweave/sdk       # TypeScript

from airweave import AirweaveSDK
client = AirweaveSDK(api_key="YOUR_API_KEY")results = client.collections.search.instant(    readable_id="my-collection",    query="Find recent failed payments")

[SDK Documentation] [Example Notebooks]

CLI

Search collections, manage sources, and trigger syncs from your terminal:

pip install airweave-cli

airweave auth loginairweave search "quarterly revenue figures" --collection finance-data

The CLI outputs rich interactive results in your terminal and clean JSON when piped — making it work for both developers and AI agents.

[CLI Documentation]

Tech Stack

• Frontend: React/TypeScript with ShadCN
• Backend: FastAPI (Python)
• Databases: PostgreSQL (metadata), Vespa (vectors)
• Workers: Temporal (orchestration), Redis (pub/sub)
• Deployment: Docker Compose (dev), Kubernetes (prod)

Contributing

We welcome contributions! See our Contributing Guide.

License

MIT License

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