Performs data extraction using LLM based on the specified data source, filter conditions, and JSON schema. Retrieves chunked data and uses the schema to extract and return the result as JSON via LLM.
Required roles: All, App
API key for authentication
JSON Schema for the data to be extracted.
Logical operator for combining filter conditions
AND, OR The type of the source
crawl, local_file, google_drive, github, notion The type of the source file
html, pdf, ppt, pptx, pptm, doc, docx, docm, xls, xlsx, xlsm, md, txt, jsonl, png, jpg, webp, heic, heif, wav, mp3, aiff, aac, m4a, ogg, flac, mp4, mpg, mov, avi, flv, webm, wmv, 3gp, notion_page Start date for content search (Unix timestamp in seconds)
x >= 1735639200End date for content search (Unix timestamp in seconds)
x >= 1735639200(reserved for future use) Filter group with nested structure. Supports combining filters with AND/OR logic.
Filter by individual source/file metadata from source_metadatas table
1 <= x <= 100x >= 0Additional prompt for the LLM (optional, if not specified, a default prompt in Japanese will be used).
Whether to search for and use related content