Semantic search for documents
Find the right passage even when you don't know the exact wording. Search across contracts, reports, and knowledge bases by meaning instead of memorising phrases.
Search by ideas, not just text
Semantic search understands that “renewal date” and “contract end date” can mean the same thing. Type your question or phrase in your own words, and MindParse AI surfaces the most relevant sections from your documents.
When semantic search beats keyword search (use cases)
Keyword search fails when documents use different phrasing. Semantic search helps you find relevant passages by meaning—ideal for contracts, research, and internal documentation where the same idea can be expressed many ways.
Contracts and legal PDFs
- Find “renewal” even when the contract says “term extension”.
- Surface clauses like assignment and change of control across many agreements.
- Combine with AI contract analysis for clause-level workflows.
Research and reports
- Find passages discussing the same concept with different terminology.
- Locate limitations and assumptions even when phrasing varies.
- Use semantic search before summarizing to reduce missed context.
Internal knowledge base
- Find “how do we…” answers even when the doc author used different wording.
- Reduce repeated questions by sharing a team workspace.
- Pair with AI knowledge base.
Works alongside chat
- Use search to jump to relevant passages fast.
- Then use chat to ask follow-ups and get a summary grounded in those sections.
- Start with chat with PDF AI or chat with multiple PDFs.
FAQs about semantic search for documents
What is semantic search?
Semantic search finds relevant passages by meaning, not exact words. That helps when documents use different phrasing for the same concept (common in contracts, research, and internal docs).
Is semantic search the same as chat with documents?
They complement each other. Search helps you find the right sections quickly; chat helps you ask follow-up questions and generate summaries grounded in those sections.
Does it work across multiple documents?
Yes. Semantic search can surface relevant passages across all files in a workspace, which is useful for multi-PDF comparisons and folder-level discovery.