---
source_url: "https://airweave.ai/?utm_source=openai"
title: "Airweave | Context Retrieval Layer for AI"
mirrored_at: 2026-08-11T15:38:45.636Z
host: airweave.ai
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/airweave.ai/index__q__utm_source_openai"
---

> **Original source:** https://airweave.ai/?utm_source=openai

## Build smarter agents

Airweave lets AI agents retrieve relevant context from apps and databases.

It is the context retrieval layer that sits between AI systems and data sources, enabling grounded and accurate answers on demand. 

Trusted by engineering teams building the future

Airweave is a context retrieval layer for AI agents and RAG systems. It connects to apps, tools, and databases, syncs their data in real time, and exposes it through a unified search interface. This enables AI systems to reliably retrieve grounded, up-to-date information from real data sources on demand via an LLM-friendly interface.

Airweave is a context retrieval layer for AI agents and RAG systems. It connects to apps, tools, and databases, syncs their data in real time, and exposes it through a unified search interface. This enables AI systems to reliably retrieve grounded, up-to-date information from real data sources on demand via an LLM-friendly interface.

Airweave is a context retrieval layer for AI agents and RAG systems. It connects to apps, tools, and databases, syncs their data in real time, and exposes it through a unified search interface. This enables AI systems to reliably retrieve grounded, up-to-date information from real data sources on demand via an LLM-friendly interface.

Airweave is a context retrieval layer for AI agents and RAG systems. It connects to apps, tools, and databases, syncs their data in real time, and exposes it through a unified search interface. This enables AI systems to reliably retrieve grounded, up-to-date information from real data sources on demand via an LLM-friendly interface.

Al agents and RAG systems depend on high-quality retrieval, but enterprise data is fragmented, dynamic, and hard to access.

Airweave exists to make context and information retrieval reliable and reusable, so teams don't have to rebuild fragile retrieval pipelines for every agent or application.

Dive into Airweave

## How Airweave Works

Airweave sits between your data sources and Al systems, acting as shared retrieval infrastructure.

01

**Create Collection**

Spin up a searchable knowledge base.

02

Sync data from apps, docs, and databases with ready-to-use connectors.

03

Your agent queries Airweave in natural language and gets accurate, grounded answers instantly.

Features

Together, these capabilities form shared infrastructure for context and information retrieval across enterprise systems.

Pricing

## From passion project to scalable solution

Our Blog

## Insights from the AI infrastructure frontlines

## Airweave Academy

Technical guides on context retrieval, AI agents, and building smarter systems.