Returns the current value of the chat setting for the index.
An API key is a token that you provide when making API calls. Read more about how to secure your project.
Include the API key to the Authorization header, for instance:
-H 'Authorization: Bearer 6436fc5237b0d6e0d64253fbaac21d135012ecf1'If you use a SDK, ensure you instantiate the client with the API key, for instance with JS SDK:
const client = new MeiliSearch({
host: 'MEILISEARCH_URL',
apiKey: '6436fc5237b0d6e0d64253fbaac21d135012ecf1'
});Unique identifier of the index.
Returns the current value of the chat setting.
Configuration settings for AI-powered chat and search functionality.
These settings control how documents are presented to the LLM and what search parameters are used when the LLM queries the index.
A description of this index that helps the LLM understand its contents and purpose. This description is provided to the LLM to help it decide when and how to query this index. Example: "Contains product catalog with prices and descriptions".
A liquid template used to render documents to a text that can be embedded.
Meillisearch interpolates the template for each document and sends the resulting text to the embedder. The embedder then generates document vectors based on this text.
Maximum size in bytes for the rendered document text. Texts longer than
this limit are truncated. This prevents very large documents from
consuming too much context in the LLM conversation.
Defaults to 400 bytes.
x >= 0Default search parameters used when the LLM queries this index. These settings control how search results are retrieved and ranked. If not specified, standard search defaults are used.