Creates job to import collection to the collection.
Changed onCreates job to import collection to the collection.
Request
- Base URLhttps://h2ogpte.genai.h2o.ai/api/v1
- AuthHTTP bearer
- TypeScriptA function with typed inputs. Its response is checked against the schema.
Path parameters
Id of the destination collection.
Query parameters
Whether to move scheduled connectors from the source collection to the target collection after documents are imported. The source collection will have no scheduled connectors after this operation. Only the owner of both collections can use this flag.
Whether to copy lifecycle settings (expiry_date, inactivity_interval, size_limit) from the source collection to the target collection.
Whether to skip re-parsing documents and only re-embed existing chunks with the target collection's embedding model. Much faster than full import since it skips file fetch, PDF conversion, OCR, and chunking. Only re-embeds the text chunks. Cannot be combined with copy_document=true.
Whether to save a new copy of the document
Whether to preserve each document's original ingest mode (agent_only vs standard) when importing. When true, documents with agent_only status remain agent_only in the target collection. When false (default), all documents use the ingest_mode parameter uniformly.
Whether to preserve document metadata when copying documents.
Whether to auto-generate document summaries (uses LLM).
Whether to auto-generate sample questions for each document (uses LLM).
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
- info
added the new optional
queryrequest parametercopy_lifecycle_settings - info
added the new optional
queryrequest parametermigrate_scheduled_connectors - info
added the new optional
queryrequest parameterpreserve_document_status - info
added the new optional
queryrequest parameterpreserve_metadata - info
added the new optional
queryrequest parameterskip_reparse - info
added the non-success response with the status
- info
added the optional property
to the response with the status - info
added the optional property
to the response with the status - info
added the optional property
to the response with the status - info
added the optional property
to the response with the status - info
added the optional property
to the response with the status
- info