Version: 2.0

Advanced Single Corpus Query

POST /v2/corpora/:corpus_key/query

Perform an advanced query on a specific corpus to find relevant results, highlight relevant snippets, and use Retrieval Augmented Generation:

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 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.
Use hybrid search to achieve optimal results by setting different values for lexical_interpolation (e.g., 0.025). 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

For more detailed information, see Query API guide.

Request

A response to a query.