Typesense · Schema
ConversationalSearchResult
Full-Text SearchOpen-SourceSearch EnginesTypo ToleranceVector Search
Properties
| Name | Type | Description |
|---|---|---|
| facet_counts | array | Facet counts from the underlying search. |
| found | integer | Total number of matching documents. |
| search_time_ms | integer | Time taken for the search in milliseconds. |
| hits | array | Search result hits used as context for the answer. |
| conversation | object | Conversational response from the LLM. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/ConversationalSearchResult",
"title": "ConversationalSearchResult",
"type": "object",
"properties": {
"facet_counts": {
"type": "array",
"description": "Facet counts from the underlying search.",
"items": {
"type": "object"
}
},
"found": {
"type": "integer",
"description": "Total number of matching documents."
},
"search_time_ms": {
"type": "integer",
"description": "Time taken for the search in milliseconds."
},
"hits": {
"type": "array",
"description": "Search result hits used as context for the answer.",
"items": {
"type": "object",
"properties": {
"document": {
"type": "object",
"description": "The matched document."
},
"highlights": {
"type": "array",
"items": {
"type": "object"
}
},
"text_match": {
"type": "integer",
"format": "int64"
}
}
}
},
"conversation": {
"type": "object",
"description": "Conversational response from the LLM.",
"required": [
"answer",
"conversation_id"
],
"properties": {
"answer": {
"type": "string",
"description": "Natural language answer generated by the LLM based on the search results context."
},
"conversation_history": {
"type": "array",
"description": "History of messages in the conversation.",
"items": {
"type": "object",
"properties": {
"role": {
"type": "string",
"description": "Role of the message sender (user, assistant, system)."
},
"content": {
"type": "string",
"description": "Content of the message."
}
}
}
},
"conversation_id": {
"type": "string",
"description": "Unique ID for the conversation, used for follow-up queries."
}
}
}
}
}
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