{ "openapi": "3.0.1", "info": { "title": "Rag Content Chunker", "description": "Turn raw text, Markdown, or Apify datasets into token-perfect RAG chunks with deterministic IDs, source metadata, and a billing-ready summary—ready for embeddings or vector DBs without extra glue code.", "version": "0.0", "x-build-id": "5jVcLXD9rm9siWXvt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/labrat011~rag-content-chunker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-labrat011-rag-content-chunker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/labrat011~rag-content-chunker/runs": { "post": { "operationId": "runs-sync-labrat011-rag-content-chunker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/labrat011~rag-content-chunker/run-sync": { "post": { "operationId": "run-sync-labrat011-rag-content-chunker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "text": { "title": "Text to Chunk", "type": "string", "description": "Plain text or Markdown content to split into chunks. Maximum 500,000 characters. For bulk processing, use the dataset_id input instead." }, "dataset_id": { "title": "Apify Dataset ID (Optional)", "type": "string", "description": "ID of an existing Apify dataset (e.g., from Website Content Crawler). Each item's 'text' or 'markdown' field will be chunked. Takes priority over the text input." }, "file_url": { "title": "File URL (Bulk Upload)", "type": "string", "description": "HTTPS URL to a plain text or Markdown file in Apify Key-Value Store (or any public URL). Takes priority over the 'text' input. Upload your file to Apify Console → Storage → Key-Value Stores, then paste the API URL here.\n\nSupported formats: .txt, .md, .markdown, .html\n\nGet the URL from Apify Storage: api.apify.com/v2/key-value-stores/YOUR_STORE_ID/records/filename.txt" }, "dataset_field": { "title": "Dataset Text Field", "type": "string", "description": "Which field to read from each dataset item. Common values: 'text', 'markdown', 'content'.", "default": "text" }, "strategy": { "title": "Chunking Strategy", "enum": [ "recursive", "markdown", "sentence" ], "type": "string", "description": "How to split the content. 'recursive' splits on paragraphs, then sentences, then words. 'markdown' splits on Markdown headers while preserving structure. 'sentence' splits on sentence boundaries.", "default": "recursive" }, "chunk_size": { "title": "Chunk Size (tokens)", "minimum": 64, "maximum": 8192, "type": "integer", "description": "Target size for each chunk in tokens. Recommended: 256-1024 for most RAG use cases. Default 512.", "default": 512 }, "chunk_overlap": { "title": "Chunk Overlap (tokens)", "minimum": 0, "maximum": 2048, "type": "integer", "description": "Number of overlapping tokens between consecutive chunks. Helps preserve context across chunk boundaries. Default 64.", "default": 64 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }