openapi: 3.0.1 info: title: Vectorize AI Platform Connectors Extraction API description: 'The Vectorize API lets developers programmatically build and operate RAG (retrieval-augmented generation) pipelines: create / start / stop / delete pipelines, run retrieval against a pipeline''s vector index, manage source, destination, and AI-platform connectors, upload files, extract documents with Iris, and run deep research. All paths are organization-scoped under /org/{organizationId}. Authentication uses a Bearer access token.' termsOfService: https://vectorize.io/terms contact: name: Vectorize Support url: https://vectorize.io version: 0.1.2 servers: - url: https://api.vectorize.io/v1 description: Vectorize API security: - bearerAuth: [] tags: - name: Extraction description: Vectorize Iris document extraction. paths: /org/{organizationId}/extraction: post: operationId: startExtraction tags: - Extraction summary: Start content extraction from a file description: Starts a Vectorize Iris extraction job against a previously uploaded file, converting it into Markdown chunks with optional metadata extraction. parameters: - $ref: '#/components/parameters/OrganizationId' requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/StartExtractionRequest' responses: '200': description: Extraction started. content: application/json: schema: $ref: '#/components/schemas/StartExtractionResponse' '400': $ref: '#/components/responses/Error' /org/{organizationId}/extraction/{extractionId}: get: operationId: getExtractionResult tags: - Extraction summary: Get extraction result parameters: - $ref: '#/components/parameters/OrganizationId' - name: extractionId in: path required: true schema: type: string responses: '200': description: Extraction result. Poll until ready is true. content: application/json: schema: $ref: '#/components/schemas/ExtractionResultResponse' '404': $ref: '#/components/responses/Error' components: schemas: ErrorResponse: type: object properties: error: type: string details: type: string failedUpdates: type: array items: type: string successfulUpdates: type: array items: type: string required: - error ExtractionResultResponse: type: object properties: ready: type: boolean data: $ref: '#/components/schemas/ExtractionResult' required: - ready StartExtractionResponse: type: object properties: message: type: string extractionId: type: string required: - message - extractionId StartExtractionRequest: type: object properties: fileId: type: string type: type: string enum: - iris default: iris chunkingStrategy: type: string enum: - markdown default: markdown chunkSize: type: number default: 256 metadata: type: object description: Metadata extraction strategy. additionalProperties: true required: - fileId ExtractionResult: type: object properties: success: type: boolean chunks: type: array items: type: string text: type: string metadata: type: string metadataSchema: type: string chunksMetadata: type: array items: type: string chunksSchema: type: array items: type: string error: type: string required: - success parameters: OrganizationId: name: organizationId in: path required: true description: Vectorize organization identifier. schema: type: string responses: Error: description: Error response. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT description: Vectorize API access token passed as a Bearer token.