Document Embedding

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.