Overview
A legal team has 15,000 contracts in a document management system. Someone asks: "Which vendor contracts include a non-compete clause with a radius greater than 50 miles?" Keyword search for "non-compete" returns 800 documents. Most do not have the radius condition. Finding the specific answer requires opening and reading hundreds of contracts. Semantic search understands the intent — returning only the contracts where a non-compete clause specifically mentions a geographic radius exceeding 50 miles.
The Enterprise Document Search System moves beyond keyword matching to semantic retrieval — understanding what the user is looking for, searching across document content and extracted metadata, ranking results by relevance to the specific question, and presenting answers with highlighted source passages.
What you get: - Semantic search that understands intent beyond keywords - Faceted filtering (by document type, date, author, department) - Relevance ranking combining text match, metadata, and recency - Answer extraction with source passage highlighting - Access control integration (users see only documents they can access) - Search analytics and query improvement
Built for: organizations with large document repositories where keyword search returns too many irrelevant results — where finding the right document or passage in 10,000+ documents requires understanding, not just matching.