For Agents
Programmatically initiate upload process by submitting document metadata, get status for given document reference. Covers 6 operations.
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the RAG Service 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.
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic 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.
What an agent can do with RAG Service API API.
Initiate upload process by submitting document metadata
Get status for given document reference
Generate response for user query synchronously
Check status of asynchronous request to provide summarised answer for user query
GET STARTED
Use for: I need to initiate upload process by submitting document metadata, I want to status for given document reference, Search for document status, Find all generate response for user query synchronously
Not supported: Does not handle payments, communications, or crm — use for developer tools only.
Jentic publishes the only available OpenAPI document for RAG Service API, keeping it validated and agent-ready.
API for RAG service for document ingestion and answer retrieval. The API exposes 6 endpoints.
Monitor RAG Service API operational status and events
Patterns agents use RAG Service API API for, with concrete tasks.
★ Developer Tools Operations
Use the RAG Service API to perform developer tools operations programmatically. The API provides 6 endpoints covering core functionality including initiate upload process by submitting document metadata, get status for given document reference, get document status.
Call POST /document-upload to initiate upload process by submitting document metadata
Automated Document information summarised asynchronously Management
Automate document information summarised asynchronously operations by combining multiple RAG Service API endpoints. Agents can get status for given document reference and then get document status in a single workflow.
Call GET /document-upload/{documentReference} to get status for given document reference, then verify the result
AI Agent Integration via Jentic
AI agents discover and call RAG Service API endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle none tokens manually.
Search Jentic for 'initiate upload process by submitting document metadata', load the operation schema, and execute with Jentic-managed credentials
6 endpoints — api for rag service for document ingestion and answer retrieval.
METHOD
PATH
DESCRIPTION
/document-upload
Initiate upload process by submitting document metadata
/document-upload/{documentReference}
Get status for given document reference
/document-status
Get document status
/answer-user-query
Generate response for user query synchronously
/answer-user-query-async
Generate response for user query asynchronously
/answer-user-query-async-status/{transactionId}
Check status of asynchronous request to provide summarised answer for user query
/document-upload
Initiate upload process by submitting document metadata
/document-upload/{documentReference}
Get status for given document reference
/document-status
Get document status
/answer-user-query
Generate response for user query synchronously
/answer-user-query-async
Generate response for user query asynchronously
Three things that make agents converge on Jentic-routed access.
Credential isolation
RAG Service API none credentials are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw secrets never enter the agent context.
Intent-based discovery
Agents search by intent (e.g., 'initiate upload process by submitting document metadata') and Jentic returns the matching RAG Service API operation with its input schema, so the agent can call the right endpoint without browsing docs.
Time to first call
Direct RAG Service API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
Github
Alternative developer tools API
Choose Github when you need a different approach to developer tools operations
Gitlab
Alternative developer tools API
Choose Gitlab when you need a different approach to developer tools operations
Specific to using RAG Service API API through Jentic.
What authentication does the RAG Service API use?
The RAG Service API uses no authentication. Through Jentic, these credentials are stored encrypted in the MAXsystem vault and injected at execution time, so raw secrets never enter the agent context.
Can I initiate upload process by submitting document metadata with the RAG Service API?
Yes. Use the POST /document-upload endpoint. The API returns structured JSON responses that agents can parse and act on directly.
What are the rate limits for the RAG Service API?
Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.
How do I initiate upload process by submitting document metadata through Jentic?
Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'initiate upload process by submitting document metadata'. Jentic returns the matching RAG Service API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.
How many endpoints does the RAG Service API have?
The RAG Service API exposes 6 endpoints covering document information summarised asynchronously, document information summarised synchronously, document ingestion initiation operations.
/answer-user-query-async-status/{transactionId}
Check status of asynchronous request to provide summarised answer for user query