LLM

Airweave

Context retrieval layer for AI agents — connects to apps and databases, syncs data in real time, and provides unified search for AI systems

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airweave.ai

Verified API available Free tier

Quick facts
What is it	Context retrieval layer for AI agents — connects to apps and databases, syncs data in real time, and provides unified search for AI systems
Pricing	Freemium — from $16/mo
Free tier	Yes
Platform	Web Application
API	Yes
Best for	building AI agents that need real-time data access, creating RAG (Retrieval-Augmented Generation) systems
Domain registered	2024

Data updated Aug. 1, 2026

What does Airweave do?

Airweave is a context retrieval layer designed specifically for AI agents and RAG (Retrieval-Augmented Generation) systems. It functions as the bridge between AI applications and various data sources, connecting to apps, tools, and databases to sync their data in real time. The platform exposes this data through a unified search interface that AI systems can query to retrieve accurate, up-to-date information from multiple sources simultaneously. This solves the problem of fragmented enterprise data that's typically hard for AI systems to access reliably.

The system works by allowing developers to create searchable knowledge bases called collections, then connect various data sources using ready-made connectors. AI agents can query these collections using natural language, and Airweave returns relevant, grounded information from the connected sources. What makes Airweave stand out is its focus on being LLM-friendly, meaning the interface and responses are optimized for consumption by large language models rather than just human users. The platform handles the complexity of data synchronization and provides a simple API for integration.

This tool is particularly valuable for engineering teams building AI agents that need to access real-time business data from multiple systems like CRMs, databases, and SaaS applications. Companies developing customer service bots, internal knowledge assistants, or any AI system that requires current information from various sources will find Airweave useful. It eliminates the need to build custom retrieval pipelines for each new AI application, making the development process more efficient and reliable.

AI API Chatbot Developer Tools LLM

#ai agents#api integration#context-retrieval#data sync#developer tools#knowledge base#rag systems#search

Key features

What makes it stand out

Unified search across multiple data sources

Real-time data synchronization from apps and databases

LLM-friendly interface for natural language queries

Ready-to-use connectors for popular tools

Searchable knowledge base creation

Who is Airweave for?

Who benefits most from this tool

building AI agents that need real-time data access

creating RAG (Retrieval-Augmented Generation) systems

integrating multiple data sources for AI applications

Pricing

Free tier available — start without a credit card

Developer

Free

500 queries
50,000 entities synced
10 source connections
10 source connections
500 queries / mo
50K entities synced / mo
Community Support

Pro

$16.0/month

2,000 queries
100,000 entities synced
50 source connections
50 source connections
2K queries / mo
100K entities synced / mo
2 team members
Email support

Startup

$239.0/month

10,000 queries
1,000,000 entities synced
1,000 source connections
1000 source connections
10K queries / mo
1M entities synced / mo
10 team members
Dedicated Slack support
Dedicated onboarding

Enterprise

Custom

Unlimited source connections
Custom usage limits
Tailored onboarding
Dedicated priority support
Custom integrations
On-prem deployment
SSO, RBAC, SLAs

Trust & presence

Domain Domain registered 2024

Gallery

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