> ## Documentation Index > Fetch the complete documentation index at: https://supermemory-temp-snowcone-command.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Update document > Update a document with any content type (text, url, file, etc.) and metadata ## OpenAPI ````yaml https://api.supermemory.ai/v3/openapi patch /v3/documents/{id} openapi: 3.1.0 info: title: supermemory API description: The Memory API for the AI era version: 3.0.0 servers: - description: Production Server url: https://api.supermemory.ai security: - bearerAuth: [] tags: - name: Ingest description: Ingest documents, files, URLs, conversations, and other content - name: Recall (Search) description: >- Semantic recall across your content — supports memories, hybrid, and documents modes - name: Profiles description: >- Entity profiles for users, participants, or any entity — includes profile search - name: Content Management description: List, get, update, and delete content and memories - name: Spaces description: Organize content into spaces (container tags) - name: Knowledge Graph description: Knowledge graph and entity relationships - name: Connections description: External service integrations - name: Settings description: Organization settings - name: Analytics description: Usage analytics and insights - name: Documents description: List, get, and search documents paths: /v3/documents/{id}: patch: tags: - Ingest summary: Update document description: >- Update a document with any content type (text, url, file, etc.) and metadata operationId: patchV3DocumentsById parameters: - in: path name: id schema: type: string required: true requestBody: required: true content: application/json: schema: type: object properties: containerTag: description: >- Optional tag this document should be containerized by. This can be an ID for your user, a project ID, or any other identifier you wish to use to group documents. example: user_alex type: string maxLength: 100 pattern: ^[a-zA-Z0-9_:-]+$ containerTags: description: >- (DEPRECATED: Use containerTag instead) Optional tags this document should be containerized by. This can be an ID for your user, a project ID, or any other identifier you wish to use to group documents. deprecated: true hidden: true type: array items: type: string maxLength: 100 pattern: ^[a-zA-Z0-9_:-]+$ content: type: string description: >- The content to extract and process into a document. This can be a URL to a website, a PDF, an image, or a video. Plaintext: Any plaintext format URL: A URL to a website, PDF, image, or video We automatically detect the content type from the url's response format. example: >- Our API rate limits are 100 req/min on free and 1000 on pro. Clients should use exponential backoff on 429s. customId: description: >- Optional custom ID of the document. This could be an ID from your database that will uniquely identify this document. example: doc-api-rate-limits type: string metadata: description: >- Optional metadata for the document. This is used to store additional information about the document. You can use this to store any additional information you need about the document. Metadata can be filtered through. Keys must be strings and are case sensitive. Values can be strings, numbers, or booleans. You cannot nest objects. example: source: upload language: en type: object propertyNames: type: string additionalProperties: anyOf: - type: string - type: number - type: boolean - type: array items: type: string taskType: description: >- Task type: "memory" (default) for full context layer with SuperRAG built in, "superrag" for managed RAG as a service. example: memory type: string enum: - memory - superrag filepath: description: >- Optional file path for the document (e.g., '/documents/reports/file.pdf'). Used by supermemoryfs to map documents to filesystem paths. example: /documents/reports/file.pdf hidden: true type: string filterByMetadata: description: >- Optional metadata filter scoping which existing memories are pulled as context during ingestion. Scalar values match exactly (AND across keys); array values match ANY (OR within key). Only memories whose source documents match this filter are used as context. example: department: engineering region: us type: object propertyNames: type: string additionalProperties: anyOf: - type: string - type: number - type: boolean - type: array items: type: string responses: '200': content: application/json: schema: type: object required: - id - status properties: id: type: string description: Unique identifier of the document status: type: string description: Status of the document additionalProperties: false description: Document updated successfully '401': content: application/json: schema: type: object required: - error properties: error: type: string description: Error message details: type: string description: Additional error details additionalProperties: false description: Unauthorized '404': content: application/json: schema: type: object required: - error properties: error: type: string description: Error message details: type: string description: Additional error details additionalProperties: false description: Document not found '500': content: application/json: schema: type: object required: - error properties: error: type: string description: Error message details: type: string description: Additional error details additionalProperties: false description: Internal server error components: securitySchemes: bearerAuth: scheme: bearer type: http ````