ColiVara-based optimization solution
For unstructured documents (e.g., images, scans, etc.), retrieval efficiency can be improved by the following methods:
- Visual Characteristics Index: Visual semantic indexing of documents instead of textual indexing
- Collection Management Functions: Use
create_collectionCategorize documents by department/project - metadata enhancement: in
upsert_documentWhen adding custom metadata fields
Implement the process:
- Setting up a document categorization system: creating multiple ones through the API
collection - Additional metadata for batch uploads: includes business fields such as department, project number, etc.
- Combined query condition: use
query_filterEnabling multi-dimensional screening
This method can improve the search accuracy of more than 50% compared with the traditional full-text search, which is especially suitable for non-text materials such as design drafts and scanned contracts.
This answer comes from the articleColiVara: Visual Embedding Based Document Storage and Retrieval ServiceThe
May not be reproduced without permission:AI productivity tools " How to improve the retrieval efficiency of unstructured documents in an enterprise document management system?
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