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Version: 2.0

Multiple Corpora Query

POST 
/v2/query

Perform a multipurpose query across to retrieve relevant information from one or more corpora and generate a response using Retrieval Augmented Generation (RAG).

  • Specify the unique corpus_key identifying the corpus to query. The corpus_key is created in the Vectara Console UI or the Create Corpus API definition. When creating a new corpus, you have the option to assign a custom corpus_key following your preferred naming convention. This key serves as a unique identifier for the corpus, allowing it to be referenced in search requests. For more information, see Corpus Key Definition.
  • Customize your search by specifying the query text (query), pagination details (offset and limit), and metadata filters (metadata_filter) to tailor your search results. Learn more
  • Leverage advanced search capabilities like reranking (reranker) and opt-in Retrieval Augmented Generation (RAG) (generation) for enhanced query performance. Generation is opt in by setting the generation property. By excluding the property or by setting it to null, the response will not include generation. Learn more
  • Specify Vectara's RAG-focused LLM (Mockingbird) for the generation_preset_name. Learn more
  • Use advanced summarization options that utilize detailed summarization parameters such as max_response_characters, temperature, and frequency_penalty for generating precise and relevant summaries. Learn more
  • Customize citation formats in summaries using the citations object to include numeric, HTML, or Markdown links. Learn more

For more detailed information, see this Query API guide.

Request​

Responses​

A response to a query.