AI & Machine Learning
Connect Ragie to Your AI Agents
Let your Wkil agents index documents and retrieve grounded answers through Ragie's retrieval engine.
Authentication: API key
What you can do
- Index documents for retrieval-augmented search
- Retrieve relevant document chunks for a query
- Generate answers grounded in indexed content
Available capabilities may vary by authentication and workspace configuration.
Actions supported by the connector
Create Document
Upload and index a new document for retrieval.
Create Document From URL
Index a document directly from a web URL.
Get Response
Retrieve a generated answer based on indexed documents.
Retrieve Document Chunks
Fetch the most relevant document chunks for a query.
Delete Document
Remove a document from the retrieval index.
List Documents
Retrieve the list of indexed documents.
Practical agent use cases
- An agent indexes a new knowledge-base article so it becomes searchable immediately.
- An agent retrieves relevant document chunks to ground an answer before responding to a user.
How it works with Wkil
- 1Choose the integrationAdd Ragie to your agent from inside the Wkil platform.
- 2Grant the permissions it needsDefine precisely what the agent can access and perform.
- 3Test, then run itTest actions before they go live, with human approval where needed.
Permissions always stay in your control — you can scope access and require human approval before any sensitive action.
Related integrations
FAQ
Does this use my own Ragie account?
Yes — the connection authenticates with an API key scoped to your account and its indexed documents.

