Vectara API

Name: Vectara API API
Brand: Vectara API
Availability: InStock

✓ Official Vendor SpecDeveloper ToolsSource Controlbearer12 EndpointsREST

For Agents

Programmatically create a corpus, list corpora. Covers 12 operations with bearer authentication.

Use for: I need to a corpus, I want to corpora, Search for a corpus, Find all a corpus

Connect the Vectara API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Vectara 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.

Install Jentic One Beta (Self-Hosted)

Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Agent machine

# 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 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 Vectara API API.

Create a corpus

List corpora

Get a corpus

Update a corpus

Delete a corpus

GET STARTED

Start building with Vectara API API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Vectara API API for, with concrete tasks.

★ Developer Tools Operations

Use the Vectara API to perform developer tools operations programmatically. The API provides 12 endpoints covering core functionality including create a corpus, list corpora, get a corpus.

Call POST /corpora to create a corpus

Automated Chat Management

Automate chat operations by combining multiple Vectara API endpoints. Agents can list corpora and then get a corpus in a single workflow.

Call GET /corpora to list corpora, then verify the result

AI Agent Integration via Jentic

AI agents discover and call Vectara 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 bearer tokens manually.

Search Jentic for 'create a corpus', load the operation schema, and execute with Jentic-managed credentials

Key Endpoints

12 endpoints — vectara is a genai platform providing retrieval augmented generation (rag) as a service.

METHOD

PATH

DESCRIPTION

POST

/corpora

Create a corpus

GET

/corpora

List corpora

GET

/corpora/{corpus_key}

Get a corpus

PATCH

/corpora/{corpus_key}

Update a corpus

DELETE

/corpora/{corpus_key}

Delete a corpus

POST

/corpora/{corpus_key}/documents

Add a document to a corpus

GET

/corpora/{corpus_key}/documents

List documents in a corpus

GET

/corpora/{corpus_key}/documents/{document_id}

Get a document

POST

/corpora

Create a corpus

GET

/corpora

List corpora

GET

/corpora/{corpus_key}

Get a corpus

PATCH

/corpora/{corpus_key}

Update a corpus

DELETE

/corpora/{corpus_key}

Delete a corpus

POST

/corpora/{corpus_key}/documents

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Vectara API bearer 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., 'create a corpus') and Jentic returns the matching Vectara API operation with its input schema, so the agent can call the right endpoint without browsing docs.

Time to first call

Direct Vectara API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Github

Alternative developer tools API

Choose Github when you need a different approach to developer tools operations

Alternative

Gitlab

Alternative developer tools API

Choose Gitlab when you need a different approach to developer tools operations

FAQs

Specific to using Vectara API API through Jentic.

What authentication does the Vectara API use?

The Vectara API uses a Bearer token in the Authorization header. 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 create a corpus with the Vectara API?

Yes. Use the POST /corpora endpoint. The API returns structured JSON responses that agents can parse and act on directly.

What are the rate limits for the Vectara 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 create a corpus through Jentic?

Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'create a corpus'. Jentic returns the matching Vectara API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.

How many endpoints does the Vectara API have?

The Vectara API exposes 12 endpoints covering chat, chats, corpora operations.