Vectara · Schema
Vectara Query Request
Request body for the Vectara Query API. Combines a natural-language query with retrieval and grounded-generation parameters.
Artificial IntelligenceAgentsCorporaEmbeddingsEnterprise SearchGenerative AIGrounded GenerationHallucination DetectionLLMMCPRAGRetrievalSearchSemantic SearchVector Search
Properties
| Name | Type | Description |
|---|---|---|
| query | string | Natural-language query string. |
| search | object | |
| generation | object | |
| stream_response | boolean | Whether to stream the response via Server-Sent Events. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/vectara/main/json-schema/vectara-query-schema.json",
"title": "Vectara Query Request",
"description": "Request body for the Vectara Query API. Combines a natural-language query with retrieval and grounded-generation parameters.",
"type": "object",
"required": ["query"],
"properties": {
"query": {
"type": "string",
"description": "Natural-language query string."
},
"search": {
"type": "object",
"properties": {
"limit": { "type": "integer", "default": 10 },
"offset": { "type": "integer", "default": 0 },
"metadata_filter": { "type": "string" },
"lexical_interpolation": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Hybrid search blend between lexical (1.0) and semantic (0.0)."
},
"reranker": {
"type": "object",
"properties": {
"type": {
"type": "string",
"enum": ["customer_reranker", "mmr", "chain", "userfn"],
"description": "Reranker type applied after initial retrieval."
},
"reranker_id": { "type": "string" },
"diversity_bias": { "type": "number" }
}
}
}
},
"generation": {
"type": "object",
"properties": {
"generation_preset_name": { "type": "string" },
"max_used_search_results": { "type": "integer" },
"response_language": { "type": "string" },
"enable_factual_consistency_score": {
"type": "boolean",
"description": "Whether to compute Vectara's Hughes Hallucination Evaluation Model (HHEM) factual-consistency score."
},
"citations": {
"type": "object",
"properties": {
"style": {
"type": "string",
"enum": ["none", "numeric", "html", "markdown"]
}
}
}
}
},
"stream_response": {
"type": "boolean",
"description": "Whether to stream the response via Server-Sent Events."
}
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/vectara-query"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.