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Airweave

Open-source context retrieval layer that connects AI agents to your data sources — documents, databases, APIs, and more.

★ 6,491 GitHub MIT ragcontext-retrievalai-agentsknowledge-basesemantic-searchopen-source RAG & Knowledge

Overview

Airweave is an open-source context retrieval layer designed to power AI agents with relevant context from any data source. It connects seamlessly to documents, databases, APIs, email, Slack, Notion, and dozens of other sources, ingesting and indexing data in real time. With a built-in semantic search engine, Airweave enables AI agents to retrieve the most relevant information instantly, making it an essential infrastructure component for building reliable, context-aware AI applications. Self-hosted with Docker, MIT licensed, and privacy-first.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  airweave:
    image: autonomousplane/airweave-frontend:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/airweave:/data

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Guides & articles

How to Deploy Airweave: Self-Hosted Context Retrieval for AI Agents

Step-by-step tutorial to deploy Airweave on your own server. Docker setup, connector configuration, and query API — all in one guide.

Jul 21, 2026

Airweave: The Open-Source Context Retrieval Layer for AI Agents

Discover Airweave — an open-source context retrieval layer that connects AI agents to your data sources. 30+ connectors, semantic search, and self-hosted with Docker.

Jul 21, 2026