Build smarter agents

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. 

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from airweave import AirweaveSDK

client = AirweaveSDK(api_key="YOUR_API_KEY")

# Create a searchable knowledge base
collection = client.collections.create(name="Acme Corp")

# Connect to a source and sync data into your collection
client.source_connections.create(
 readable_collection_id=collection.readable_id,
name="Acme Stripe Account",
short_name="stripe",
authentication={

"credentials": {

"api_key": "STRIPE_API_KEY"

}

}
)

# Search your collection
response = client.collections.search(
 readable_id=collection.readable_id,
query="Are there any open invoices?",
)

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Airweave

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Al agents and RAG pipelines query Airweave to retrieve relevant context from multiple apps and databases in a single request.

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Installation

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To install Airweave, run:

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pip install airweave-sdk
npm install @Apps Airweave/sdk

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Read more on docs.airweave.ai/quickstart

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.

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

Add Sources

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

03

Supercharge Your Agent

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

Features

From integration complexity to intelligent search in minutes

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

Powerful Search

Unblocks agents by letting them find the right answers across apps and formats. Airweave empowers agents with semantic, keyword, hybrid, time-aware, and agentic search with intent, context, and understanding of complex relationships and interdependencies.

Real-time Data Sync

Agents always see current information. No stale snapshots. No manual refreshing.

Prebuilt Connectors

Pick from a growing catalog of over 50 data sources. Configure once and let Airweave handle auth and sync.

Framework Friendly

Drop Airweave into LangChain, Composio, Pipedream, or your custom agent stack. Five minutes from install to first answer.

Open Source Philosophy

Trust and transparency are our core tenants. Airweave is built in the open and improved by the community.

Pricing

From passion project to scalable solution

MONTHLY

YEARLY [save 20 %]

Developer

Free

Perfect for personal agents and side projects. No credit card required.

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Start building with:

10 source connections

50 queries / mo

50K entities synced / mo

Community Support

Pro

$16/mo

Take your agent to the next level.

GET PRO

Plan includes:

50 source connections

500 queries / mo

100K entities synced / mo

2 team members

Email support

Startup

$239/mo

For fast-moving teams that need scale and control.

GET TEAM

Plan includes:

1000 source connections

5K queries / mo

1M entities synced / mo

10 team members

Dedicated Slack support

Dedicated onboarding

Enterprise

Custom

For all your organization’s custom needs.

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Plan includes:

Unlimited source connections

Custom usage limits

Tailored onboarding

Dedicated priority support

Optional add-ons:

Custom integrations

On-prem deployment

SSO, RBAC, SLAs

Ready to build smarter agents?

START BUILDING

BOOK A CALL

Our Blog

Insights from the AI infrastructure frontlines

Knowledge

How we use Airweave to improve Airweave

About Donke: our Airweave-powered intelligent error monitoring agent.

News

Airweave Raises $6M Seed Round

We’ve raised a $6M seed round led by FCVC, with support from LUX Capital, Y Combinator, Orange Collective, Pioneer Fund, Shay Banon, and other incredible investors.

Airweave Academy

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

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Frequently Asked Questions

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What is Airweave?

Airweave is a context retrieval layer that lets AI systems retrieve relevant context from apps and databases. It connects to data sources, syncs information, and exposes it through a unified search interface so AI systems can retrieve up-to-date, source-grounded context when needed.

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02

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Where does Airweave sit in the AI stack?

Airweave sits between AI systems and data sources. It acts as shared context retrieval infrastructure that AI agents and RAG pipelines can query to access information across multiple apps and databases.

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03

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How is Airweave different from traditional RAG setups?

Traditional RAG pipelines are often built per application and rely on static embeddings. Airweave provides a shared context retrieval layer that continuously syncs data from source systems and can be reused across multiple AI agents and applications.

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04

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Why use a unified context retrieval layer instead of connecting data sources individually?

Connecting data sources individually often leads to custom, brittle integrations that are hard to maintain. Airweave connects to apps and databases once and exposes them through a unified search interface that AI systems can reuse across agents and applications.

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05

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How does Airweave keep context up to date?

Airweave continuously syncs data from connected apps and databases and makes it available at query time. This allows AI systems to retrieve current, source-grounded context instead of relying on static embeddings that quickly fall out of date.

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06

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What applications and data sources can Airweave connect to?

Airweave connects to common enterprise apps, databases, and document stores, including CRMs, cloud drives, knowledge bases, and data warehouses. The full list of supported sources is available in the documentation.

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07

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Who is Airweave for?

Airweave is for developers and teams building AI agents, RAG systems, or other AI-powered applications that need reliable access to information across multiple tools and data sources.

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08

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Is Airweave open source?

Yes. Airweave is open source and can be self-hosted or used via the hosted platform. This gives users full control over how data is synced, accessed, and used by AI systems.