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.
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.