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APIs / AI/ML / Airweave API
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Airweave API

★ Only Publicly Available OpenAPI DocumentAI/MLEmbeddings SearchapiKey27 EndpointsREST

For Agents

Index data from SaaS sources into searchable collections, then run instant, classic, or agentic search to retrieve relevant content for an AI agent. Streaming agentic search is supported.

Use for: I need to search across all my connected SaaS data, Run an agentic search and stream the response, Create a new collection that indexes my Notion workspace, List all source connections and their last sync status

Not supported: Does not host LLMs, generate embeddings as a standalone service, or run web crawls of arbitrary sites - use for SaaS-source ingestion and search only.

Jentic publishes the only available OpenAPI specification for Airweave API, keeping it validated and agent-ready. Airweave is a search and data-management platform that lets developers build retrieval over heterogeneous SaaS sources (Notion, Slack, Google Drive, Stripe, and more). The 27-endpoint API exposes collections (search-ready indexes), source connections (sync configurations), webhook ingestion, and three search modes - instant keyword search, classic semantic search, and agentic search with optional streaming. Authentication uses an x-api-key header.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Airweave API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Airweave API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fairweave.ai%2Fairweave" | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fairweave.ai%2Fairweave" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Airweave API.

Create and manage collections that index data from connected SaaS sources

Configure source connections to sync from Notion, Slack, Google Drive, Stripe, and other platforms

Run instant keyword search across a collection for low-latency lookups

Run classic semantic search for embedding-based retrieval

Run agentic search that plans multi-step retrieval and optionally streams the response

Trigger and cancel sync jobs and inspect job history per source connection

Receive webhook events for real-time ingestion of upstream changes

Use Cases

Patterns agents use Airweave API for, with concrete tasks.

★ Unified RAG over SaaS data

Build a retrieval-augmented application that searches across Notion, Slack, Google Drive, and other tools without writing per-source connectors. Airweave handles ingestion, embedding, and indexing into collections, and exposes search via instant, classic, and agentic modes.

Create a collection 'company-knowledge', attach a Notion source connection, and run a classic search for 'Q4 roadmap commitments'

Agentic enterprise search

Use the agentic search endpoint to let an AI agent plan a multi-step retrieval - for example, decomposing 'find the latest customer feedback on the new pricing page' into sub-queries across docs and chat. The streaming variant returns intermediate reasoning so a UI can render progress.

POST to /collections/{readable_id}/search/agentic/stream with the query 'recent customer complaints about pricing' and consume the stream

Sync orchestration and observability

Manage source connections programmatically - create, update, run, and cancel sync jobs, and list job history to surface failures. Useful when an agent operates a knowledge platform and must respond to ingestion incidents.

List sync jobs for source-connection {id}, identify the most recent failed job, and trigger a new run via POST /source-connections/{id}/run

AI agent integration via Jentic

Wire Airweave into a Jentic-powered agent so it can search company knowledge by intent. The agent loads the Airweave operation schema at runtime, your Jentic One instance holds the API key, and the agent calls instant, classic, or agentic search depending on the latency and depth required.

Search Jentic for 'agentic search across SaaS data', load the matching Airweave operation, and execute against the user's collection

Key Endpoints

27 endpoints — jentic publishes the only available openapi specification for airweave api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/collections

Create a new collection

POST

/collections/{readable_id}/search/instant

Run instant keyword search

POST

/collections/{readable_id}/search/classic

Run classic semantic search

POST

/collections/{readable_id}/search/agentic

Run agentic multi-step search

POST

/collections/{readable_id}/search/agentic/stream

Stream agentic search results

POST

/source-connections

Create a source connection

POST

/source-connections/{source_connection_id}/run

Trigger a sync job

POST

/collections

Create a new collection

POST

/collections/{readable_id}/search/instant

Run instant keyword search

POST

/collections/{readable_id}/search/classic

Run classic semantic search

POST

/collections/{readable_id}/search/agentic

Run agentic multi-step search

POST

/collections/{readable_id}/search/agentic/stream

Stream agentic search results

POST

/source-connections

Create a source connection

POST

/source-connections/{source_connection_id}/run

Trigger a sync job

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Setup

Wiring Airweave by hand means handling its x-api-key header, choosing between instant, classic, and agentic search modes, and writing your own retry logic. Through Jentic you install once, import Airweave from the API Directory, store the key once, and your agent calls it.

Permission scoping

Permission scoping

Airweave puts the collection id in the URL path (/collections/{readable_id}/search/instant), so a rule can pin your agent to one collection. You choose the operations it may call, so running a source connection is only included if you add it.

Credential management

Credential isolation

Your Airweave key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Intent-based discovery

Agents search Jentic by intent such as 'search across my SaaS data', and Jentic returns the matching Airweave search operation with its input schema so the agent calls the correct search mode without browsing the reference docs.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Pinecone

→

Pure vector database - you bring the connectors and embedding pipeline.

Choose Pinecone when you want a raw vector store and full control over ingestion. Choose Airweave when you want prebuilt SaaS connectors and managed sync.

Complementary

Notion API

→

Connect Notion as an Airweave source to make pages searchable.

Pair Notion with Airweave to index a workspace, then let the agent search across pages without managing Notion's API directly.

Complementary

OpenAI API

→

Generate the answer or summary from Airweave's retrieved context.

Pair OpenAI with Airweave for retrieval-then-generation flows: Airweave returns relevant chunks, OpenAI composes the response.

FAQs

Specific to using Airweave API through Jentic.

Why is there no official OpenAPI spec for Airweave API?

Airweave does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Airweave API via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Airweave API use?

Airweave uses an API key in the x-api-key header. Through Jentic, the API key is stored in the encrypted Jentic One instance and injected at execution time, so the agent never sees the raw key.

What is the difference between instant, classic, and agentic search?

Instant search at /collections/{id}/search/instant is keyword-based and optimised for low latency. Classic search at /search/classic runs semantic embedding retrieval. Agentic search at /search/agentic plans multi-step queries and can be streamed via /search/agentic/stream for live UIs.

Can I run agentic search through Jentic?

Yes. Use the Jentic search query 'agentic search across collected data'. Jentic returns the POST /collections/{readable_id}/search/agentic operation with its input schema so the agent can pass the query and collection id directly.

How do I sync a new data source into Airweave?

Create a source connection via POST /source-connections with the source short name and credentials, then trigger a sync via POST /source-connections/{id}/run. Track progress with GET /source-connections/{id}/jobs.

Are webhooks supported for real-time ingestion?

Yes. The /webhooks resource exposes message listing endpoints used to inspect inbound events. Configure upstream sources to post to your Airweave webhook URL so changes propagate without waiting for a scheduled sync.

Can I limit what my agent is allowed to do with the Airweave API?

Yes. Because Jentic One is self-hosted, your own rules decide which Airweave operations and credentials the agent may use. Since the collection id sits in the URL path, such as /collections/{readable_id}/search/instant, you can pin the agent to a single collection and to read-only search modes like instant, classic, or agentic. Write operations such as running a source connection via /source-connections/{id}/run are included only if you add them.

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View OpenAPI Document