Conversational search request handled by Manticore Buddy via CALL CHAT. When this object is set, the /search endpoint answers through an LLM using KNN-retrieved rows as context instead of returning regular search hits. Required fields are query, table, and model_name. Chat model management (CREATE CHAT MODEL, etc.) remains SQL-only. For more information see Conversational search
| Name | Type | Description | Notes |
|---|---|---|---|
| query | String | User question to send to the chat model | |
| table | String | Vectorized table to retrieve context from | |
| modelName | String | Name of the chat model | |
| conversationUuid | String | Existing conversation id to continue the dialog, or an empty string to start a new conversation. If omitted, a new id is generated. | [optional] |
| vectorField | String | A specific vector field to search by. If omitted, Buddy uses the first `FLOAT_VECTOR` field from `SHOW CREATE TABLE`. | [optional] |
| fields | String | Legacy alias for `vector_field`. A request must not include both `vector_field` and `fields`. | [optional] |