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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Copied
#
Airweave
#
Al agents and RAG pipelines query Airweave to retrieve relevant context from multiple apps and databases in a single request.
#
Installation
#
To install Airweave, run:
#
#
pip install airweave-sdk
npm install @Apps Airweave/sdk
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?",
)
Copy Code
Copied
#
Airweave
#
Al agents and RAG pipelines query Airweave to retrieve relevant context from multiple apps and databases in a single request.
#
Installation
#
To install Airweave, run:
#
#
pip install airweave-sdk
npm install @Apps Airweave/sdk
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?",
)
Copy Code
Copied
#
Airweave
#
Al agents and RAG pipelines query Airweave to retrieve relevant context from multiple apps and databases in a single request.
#
Installation
#
To install Airweave, run:
#
#
pip install airweave-sdk
npm install @Apps Airweave/sdk
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.
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.
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
Add Sources
Add Sources
Add Sources
Sync data from apps, docs, and databases with ready-to-use connectors.
03
Supercharge Your Agent
Supercharge Your Agent
Supercharge Your Agent
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
From integration complexity to intelligent search in minutes
From integration complexity to intelligent search in minutes
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.
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.
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.
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.
Real-time Data Sync
Agents always see current information. No stale snapshots. No manual refreshing.
Real-time Data Sync
Agents always see current information. No stale snapshots. No manual refreshing.
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.
Prebuilt Connectors
Pick from a growing catalog of over 50 data sources. Configure once and let Airweave handle auth and sync.
Prebuilt Connectors
Pick from a growing catalog of over 50 data sources. Configure once and let Airweave handle auth and sync.
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.
Framework Friendly
Drop Airweave into LangChain, Composio, Pipedream, or your custom agent stack. Five minutes from install to first answer.
Framework Friendly
Drop Airweave into LangChain, Composio, Pipedream, or your custom agent stack. Five minutes from install to first answer.
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.
Open Source Philosophy
Trust and transparency are our core tenants. Airweave is built in the open and improved by the community.
Open Source Philosophy
Trust and transparency are our core tenants. Airweave is built in the open and improved by the community.
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.
Start building with:
10 source connections
500 queries / mo
50K entities synced / mo
Community Support
Pro
$16/mo
Take your agent to the next level.
Plan includes:
50 source connections
2K queries / mo
100K entities synced / mo
2 team members
Email support
Team
$239/mo
For fast-moving teams that need scale and control.
Plan includes:
1000 source connections
10K queries / mo
1M entities synced / mo
10 team members
Dedicated Slack support
Dedicated onboarding
Enterprise
Custom
For all your organization’s custom needs.
Plan includes:
Unlimited source connections
Custom usage limits
Tailored onboarding
Dedicated priority support
Optional add-ons:
Custom integrations
On-prem deployment
SSO, RBAC, SLAs
MONTHLY
YEARLY [save 20 %]
Developer
Free
Perfect for personal agents and side projects. No credit card required.
Start building with:
10 source connections
500 queries / mo
50K entities synced / mo
Community Support
Pro
$16/mo
Take your agent to the next level.
Plan includes:
50 source connections
2K queries / mo
100K entities synced / mo
2 team members
Email support
Team
$239/mo
For fast-moving teams that need scale and control.
Plan includes:
1000 source connections
10K queries / mo
1M entities synced / mo
10 team members
Dedicated Slack support
Dedicated onboarding
Enterprise
Custom
For all your organization’s custom needs.
Plan includes:
Unlimited source connections
Custom usage limits
Tailored onboarding
Dedicated priority support
Optional add-ons:
Custom integrations
On-prem deployment
SSO, RBAC, SLAs
MONTHLY
YEARLY [save 20 %]
Developer
Free
Perfect for personal agents and side projects. No credit card required.
Start building with:
10 source connections
500 queries / mo
50K entities synced / mo
Community Support
Pro
$16/mo
Take your agent to the next level.
Plan includes:
50 source connections
2K queries / mo
100K entities synced / mo
2 team members
Email support
Team
$239/mo
For fast-moving teams that need scale and control.
Plan includes:
1000 source connections
10K queries / mo
1M entities synced / mo
10 team members
Dedicated Slack support
Dedicated onboarding
Enterprise
Custom
For all your organization’s custom needs.
Plan includes:
Unlimited source connections
Custom usage limits
Tailored onboarding
Dedicated priority support
Optional add-ons:
Custom integrations
On-prem deployment
SSO, RBAC, SLAs
MONTHLY
YEARLY [save 20 %]
Developer
Free
Perfect for personal agents and side projects. No credit card required.
Start building with:
10 source connections
500 queries / mo
50K entities synced / mo
Community Support
Pro
$16/mo
Take your agent to the next level.
Plan includes:
50 source connections
2K queries / mo
100K entities synced / mo
2 team members
Email support
Team
$239/mo
For fast-moving teams that need scale and control.
Plan includes:
1000 source connections
10K queries / mo
1M entities synced / mo
10 team members
Dedicated Slack support
Dedicated onboarding
Enterprise
Custom
For all your organization’s custom needs.
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?
Our Blog
Insights from the AI infrastructure frontlines
Knowledge
Knowledge
Knowledge
Knowledge
How we use Airweave to improve Airweave
About Donke: our Airweave-powered intelligent error monitoring agent.
Dec 3, 2025
News
News
News
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.
Jul 2, 2025
Frequently Asked Questions
Frequently Asked Questions
/
01
/
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.
/
03
/
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.
/
04
/
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.
/
01
/
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.
/
03
/
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.
/
04
/
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.
/
01
/
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.
/
03
/
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.
/
04
/
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.
/
01
/
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.
/
03
/
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.
/
04
/
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.