Adds files from SharePoint Online into a collection.
Adds files from Microsoft SharePoint Online into a collection. Accepts a list of entries — sites, drives, folders, or files — each identified by the drive_id and object_id returned by the connector browse API.
To ingest from a drive that is only addressable by its drive_id (for example a OneDrive personal drive, a Microsoft 365 group drive, or any drive in a non-discoverable site) pass an entry with entry_type="drive_by_id" and the drive_id field set.
Request
- Base URLhttps://h2ogpte.genai.h2o.ai/api/v1
- AuthHTTP bearer
- TypeScriptA function with typed inputs. Its response is checked against the schema.
Query parameters
String id of the collection to add the ingested documents into.
Whether to auto-generate document summaries (uses LLM).
Whether to auto-generate sample questions for each document (uses LLM).
Language of audio files.
Which method to use to extract text from images using AI-enabled optical character recognition (OCR) models. docTR is best for Latin text, PaddleOCR is best for certain non-Latin languages, Tesseract covers a wide range of languages. Mississippi works well on handwriting. - auto - Automatic will auto-select the best OCR model for every page. - off - Disable OCR for speed, but all images will then be skipped (also no image captions will be made).
Which language to use when using ocr_model="tesseract".
When tables are identified by the table parser the table tokens will be kept in a single chunk.
Each page will be a chunk. keep_tables_as_one_chunk will be ignored if this is true.
Check pages for handwriting. Will use specialized models if handwriting is found.
Ingest mode to use. - standard - Files will be ingested for use with RAG - agent_only - Bypasses standard ingestion. Files can only be used with agents.
Timeout in seconds
Request body
Response
Successful operation
Changes
No recorded changes to this operation across all 1 revision of this API.