Vectara logo

Vectara

Vectara is a Retrieval Augmented Generation (RAG) as a service platform that provides grounded generative AI for enterprises. The API-first platform exposes a unified REST API for managing corpora, ingesting documents, performing semantic and hybrid search, generating answers with hallucination detection, and building agents and pipelines on top of enterprise data.

7 APIs 0 Features
AIAgentsCorporaEmbeddingsEnterprise SearchGenerative AIGrounded GenerationHallucination DetectionLLMRAGRetrievalSearchSemantic Search

Vectara publishes 7 APIs on the APIs.io network. Tagged areas include AI, Agents, Corpora, Embeddings, and Enterprise Search.

Vectara’s developer surface includes documentation, SDKs, GitHub presence, engineering blog, pricing, support, changelog, and 6 more developer resources.

APIs

Vectara REST API

The Vectara REST API v2 is the unified interface for the Vectara RAG platform. It exposes endpoints for managing corpora, uploading and indexing documents, running semantic and ...

Vectara Corpora API

Create, list, update, and delete corpora that hold indexed documents for retrieval and grounded generation.

Vectara Indexing API

Upload and index documents into a Vectara corpus using either structured Core indexing or unstructured file upload. Supports add, replace, and delete operations on documents.

Vectara Query API

Run semantic, keyword, and hybrid queries across one or more corpora with optional grounded generation, citations, and reranking.

Vectara Chat API

Multi-turn conversational interface over a Vectara corpus that maintains chat history and produces grounded, cited answers.

Vectara Agents API

Build and operate agents over Vectara corpora with tools, planning, and grounded generation.

Vectara OAuth 2.0 Token API

OAuth 2.0 client credentials flow used to obtain a short-lived JWT for calling the Vectara REST API.

Resources

🔗
Website
Website
🔗
Developer
Developer
🔗
Documentation
Documentation
📦
SDK
SDK
👥
GitHub
GitHub
📰
Blog
Blog
💰
Pricing
Pricing
🟢
StatusPage
StatusPage
💬
Support
Support
📜
PrivacyPolicy
PrivacyPolicy
📜
TermsOfService
TermsOfService
🔗
LinkedIn
LinkedIn
📄
ChangeLog
ChangeLog

Sources

apis.yml Raw ↑
aid: vectara
name: Vectara
description: Vectara is a Retrieval Augmented Generation (RAG) as a service platform that provides grounded generative AI
  for enterprises. The API-first platform exposes a unified REST API for managing corpora, ingesting documents, performing
  semantic and hybrid search, generating answers with hallucination detection, and building agents and pipelines on top of
  enterprise data.
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
url: https://raw.githubusercontent.com/api-evangelist/vectara/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
type: Index
access: 3rd-Party
tags:
- AI
- Agents
- Corpora
- Embeddings
- Enterprise Search
- Generative AI
- Grounded Generation
- Hallucination Detection
- LLM
- RAG
- Retrieval
- Search
- Semantic Search
apis:
- aid: vectara:vectara-rest-api
  name: Vectara REST API
  description: The Vectara REST API v2 is the unified interface for the Vectara RAG platform. It exposes endpoints for managing
    corpora, uploading and indexing documents, running semantic and hybrid queries with grounded generation, managing agents
    and pipelines, configuring generation presets, evaluating hallucinations, controlling access, and reading analytics.
  humanURL: https://docs.vectara.com/docs/rest-api/
  baseURL: https://api.vectara.io/v2
  tags:
  - Agents
  - Analytics
  - Corpora
  - Documents
  - Generation
  - Pipelines
  - Query
  - RAG
  - Search
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/rest-api/
  - type: Authentication
    url: https://docs.vectara.com/docs/learn/authentication/oauth-2
- aid: vectara:vectara-corpora-api
  name: Vectara Corpora API
  description: Create, list, update, and delete corpora that hold indexed documents for retrieval and grounded generation.
  humanURL: https://docs.vectara.com/docs/api-reference/admin-apis/corpora
  baseURL: https://api.vectara.io/v2
  tags:
  - Admin
  - Corpora
  - Index
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/api-reference/admin-apis/corpora
- aid: vectara:vectara-indexing-api
  name: Vectara Indexing API
  description: Upload and index documents into a Vectara corpus using either structured Core indexing or unstructured file
    upload. Supports add, replace, and delete operations on documents.
  humanURL: https://docs.vectara.com/docs/api-reference/indexing-apis/indexing
  baseURL: https://api.vectara.io/v2
  tags:
  - Documents
  - Index
  - Upload
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/api-reference/indexing-apis/indexing
- aid: vectara:vectara-query-api
  name: Vectara Query API
  description: Run semantic, keyword, and hybrid queries across one or more corpora with optional grounded generation, citations,
    and reranking.
  humanURL: https://docs.vectara.com/docs/api-reference/search-apis/search
  baseURL: https://api.vectara.io/v2
  tags:
  - Generation
  - Grounded Generation
  - Hybrid Search
  - Query
  - Search
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/api-reference/search-apis/search
- aid: vectara:vectara-chat-api
  name: Vectara Chat API
  description: Multi-turn conversational interface over a Vectara corpus that maintains chat history and produces grounded,
    cited answers.
  humanURL: https://docs.vectara.com/docs/api-reference/chat-apis/chat-apis
  baseURL: https://api.vectara.io/v2
  tags:
  - Chat
  - Conversation
  - Generation
  - RAG
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/api-reference/chat-apis/chat-apis
- aid: vectara:vectara-agents-api
  name: Vectara Agents API
  description: Build and operate agents over Vectara corpora with tools, planning, and grounded generation.
  humanURL: https://docs.vectara.com/docs/api-reference/agents-api/agents
  baseURL: https://api.vectara.io/v2
  tags:
  - Agents
  - AI
  - Tools
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/api-reference/agents-api/agents
- aid: vectara:vectara-oauth2-api
  name: Vectara OAuth 2.0 Token API
  description: OAuth 2.0 client credentials flow used to obtain a short-lived JWT for calling the Vectara REST API.
  humanURL: https://docs.vectara.com/docs/learn/authentication/oauth-2
  baseURL: https://auth.vectara.io
  tags:
  - Authentication
  - OAuth2
  - Tokens
  properties:
  - type: Documentation
    url: https://docs.vectara.com/docs/learn/authentication/oauth-2
common:
- type: Website
  url: https://www.vectara.com/
- type: Developer
  url: https://docs.vectara.com/docs
- type: Documentation
  url: https://docs.vectara.com/docs/rest-api/
- type: SDK
  url: https://docs.vectara.com/docs/sdk/vectara-python-sdk
- type: GitHub
  url: https://github.com/vectara
- type: Blog
  url: https://www.vectara.com/blog
- type: Pricing
  url: https://www.vectara.com/pricing
- type: StatusPage
  url: https://status.vectara.com/
- type: Support
  url: https://docs.vectara.com/docs/support
- type: PrivacyPolicy
  url: https://vectara.com/legal/privacy-policy/
- type: TermsOfService
  url: https://vectara.com/legal/terms-of-service/
- type: LinkedIn
  url: https://www.linkedin.com/company/vectara/
- type: ChangeLog
  url: https://docs.vectara.com/docs/release-notes
- type: Integrations
  url: https://docs.vectara.com/docs/integrations
integrations:
- name: LangChain
- name: LlamaIndex
- name: Airbyte
- name: Unstructured
- name: Slack
- name: Snowflake
- name: AWS
- name: Google Cloud
- name: Microsoft Azure
maintainers:
- FN: Kin Lane
  email: [email protected]