openapi: 3.0.2 info: title: Retrieval Plugin API description: A retrieval API for querying and filtering documents based on natural language queries and metadata version: 1.0.0 servers: - url: https://your-app-url.com paths: /query: post: summary: Query description: This endpoint accepts an array of search query objects, each containing a natural language query string ("query") and an optional metadata filter ("filter"). Filters can help refine search results based on criteria such as document source or time period, but are not necessary in most cases. You can send multiple queries to compare information from different sources or break down complex questions into sub-questions. If you receive a ResponseTooLargeError, try splitting up the queries into multiple calls to this endpoint. operationId: query_query_post requestBody: content: application/json: schema: $ref: "#/components/schemas/QueryRequest" required: true responses: "200": description: Successful Response content: application/json: schema: $ref: "#/components/schemas/QueryResponse" "422": description: Validation Error content: application/json: schema: $ref: "#/components/schemas/HTTPValidationError" security: - HTTPBearer: [] components: schemas: DocumentChunkMetadata: title: DocumentChunkMetadata type: object properties: source: $ref: "#/components/schemas/Source" source_id: title: Source Id type: string url: title: Url type: string created_at: title: Created At type: string author: title: Author type: string document_id: title: Document Id type: string DocumentChunkWithScore: title: DocumentChunkWithScore required: - text - metadata - score type: object properties: id: title: Id type: string text: title: Text type: string metadata: $ref: "#/components/schemas/DocumentChunkMetadata" embedding: title: Embedding type: array items: type: number score: title: Score type: number DocumentMetadataFilter: title: DocumentMetadataFilter type: object properties: document_id: title: Document Id type: string source: $ref: "#/components/schemas/Source" source_id: title: Source Id type: string author: title: Author type: string start_date: title: Start Date type: string end_date: title: End Date type: string HTTPValidationError: title: HTTPValidationError type: object properties: detail: title: Detail type: array items: $ref: "#/components/schemas/ValidationError" Query: title: Query required: - query type: object properties: query: title: Query type: string filter: $ref: "#/components/schemas/DocumentMetadataFilter" top_k: title: Top K type: integer default: 3 QueryRequest: title: QueryRequest required: - queries type: object properties: queries: title: Queries type: array items: $ref: "#/components/schemas/Query" QueryResponse: title: QueryResponse required: - results type: object properties: results: title: Results type: array items: $ref: "#/components/schemas/QueryResult" QueryResult: title: QueryResult required: - query - results type: object properties: query: title: Query type: string results: title: Results type: array items: $ref: "#/components/schemas/DocumentChunkWithScore" Source: title: Source enum: - email - file - chat type: string description: An enumeration. ValidationError: title: ValidationError required: - loc - msg - type type: object properties: loc: title: Location type: array items: anyOf: - type: string - type: integer msg: title: Message type: string type: title: Error Type type: string securitySchemes: HTTPBearer: type: http scheme: bearer