Document Embedding
Semantic search — find what you don't know how to search for
Your current search engine misses every document that doesn't use your exact keywords. Document Embedding calculates a semantic fingerprint for each document and lets you find conceptually related content — even with different vocabulary, even across multiple languages. Based on local language models: zero data sent to the cloud, zero external subscription. The initial processing time is offset by instant searches afterward. Transform a corpus of thousands of documents into an intelligent, queryable knowledge base.
Private repo access included
Updates included
Tested on Mayan EDMS® 4.10, 4.11 and 4.12
Free
With a free account · Permanent GitHub access
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Terms of use and refunds
- Provided “as is”, without warranty. To the extent permitted by law, no liability is accepted for any damage arising from its use, including loss of data.