Snapshot
Continue to About ↓- What it does
- Airweave is a context retrieval layer that sits between AI agents or RAG pipelines and a company's apps, tools and databases.
More detail
- It connects to data sources, syncs their data, and exposes a unified search interface so agents can retrieve source-grounded answers from across connected systems instead of maintaining a separate retrieval pipeline per application.
- Best for
- Engineering teams building AI agents or RAG systems that need retrieval across many heterogeneous apps and databases, especially those already using LangChain, Composio, Pipedream or a custom agent stack.
More detail
- Teams that want a shared retrieval layer rather than rebuilding brittle per-application pipelines.
- Pricing
- Subscription tiers with usage caps, billed monthly with a yearly option advertised at 20% savings (exact annual prices not shown).
More detail
- Developer is free with 10 source connections, 50 queries/month, 50K entities synced/month and community support.
- Pro is $16/month with 50 connections, 500 queries/month,
- Main limitation
- Buyers who want an end-user product, chatbot or BI layer rather than developer infrastructure.
More detail
- High-query-volume teams, since the published plans cap queries at 50/month (Developer), 500/month (Pro) and 5,000/month (Startup), with no published overage pricing.
- Record
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- Structured profile ↗
About
- Airweave is a context retrieval layer that sits between AI agents or RAG pipelines and a company's apps, tools and databases.
- It connects to data sources, syncs their data, and exposes a unified search interface so agents can retrieve source-grounded answers from across connected systems instead of maintaining a separate retrieval pipeline per application.
What it helps with
- Enterprise data is fragmented, dynamic and hard for AI systems to access.
- Each agent or application otherwise needs its own fragile, hard-to-maintain retrieval pipeline.
- Static embeddings and snapshots go stale, so agents answer from outdated data.
- Custom point-to-point integrations between AI systems and data sources are brittle to maintain.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Unified search interface | Yes | Agents query connected sources in natural language through a single search call. |
| Prebuilt connectors | Yes | Homepage claims a growing catalog of over 50 data sources; actual connector coverage is unverified. |
| Real-time data sync | Unknown | Homepage claims current data with no manual refreshing; sync implementation and interval are not disclosed. |
| Search modes | Yes | Homepage lists semantic, keyword, hybrid, time-aware and agentic search; these claims are unverified. |
| Framework integrations | Yes | Named for LangChain, Composio, Pipedream and custom agent stacks. |
| Python SDK | Yes | Installable as airweave-sdk; collections, source connections and search are shown in code examples. |
| Self-hosting | Limited | Described as open source and self-hostable, but no repository, license or commercial self-host terms are stated on the homepage. |
| SSO, RBAC and SLAs | Limited | Listed as optional Enterprise add-ons, not included in self-serve plans. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- airweave.ai
Technical profile details
Record ID
944d47e2-c3a4-41bb-8df3-5601dcf54ef3Canonical URLhttps://profiles.scribble.network/listing/airweave-944d47e2