Ragie
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

  1. 1
    Choose the integration
    Add Ragie to your agent from inside the Wkil platform.
  2. 2
    Grant the permissions it needs
    Define precisely what the agent can access and perform.
  3. 3
    Test, then run it
    Test 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.

FAQ

Does this use my own Ragie account?

Yes — the connection authenticates with an API key scoped to your account and its indexed documents.

Build with Ragie

Build with Ragie