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AI vs Keyword

AI Search vs Keyword Search for Building Documents

Traditional keyword search matches exact text strings in your documents. AI semantic search understands the meaning of your question and finds relevant content even when the terminology differs. For building documentation, this difference is significant.

Overview diagram for the AI Search vs Keyword Search for Building Documents guide, covering How Keyword Search Works, How AI Semantic Search Works and Practical Impact for FM Teams

How Keyword Search Works

Keyword search — the kind built into PDF readers, Windows Explorer, and most document management systems — looks for exact text matches. If you search for "air handling unit filter replacement" it will find documents that contain those exact words, in that order or nearby.

This works well when you know the exact terminology used in the document. It fails when the document uses different terms ("AHU media change-out"), when you are not sure what to search for, or when the information you need is described using different language than your query.

How AI Semantic Search Works

PM Assist uses AI semantic search (specifically, vector-based search with a large language model) that understands the meaning behind your query. When you ask "How often should the filters be changed in the rooftop air handling unit?" PM Assist understands you are asking about filter maintenance for an AHU and will find relevant content regardless of the exact words used in the document.

This is particularly valuable for building documentation because manufacturers, contractors, and designers all use different terminology. One O&M manual might refer to "planned preventive maintenance intervals" while another says "scheduled service frequencies" — they mean the same thing, and AI search understands that.

  • Matches meaning, not just keywords
  • Handles terminology variations across different manufacturers
  • Understands abbreviations and technical jargon
  • Returns specific answers, not just pages of keyword hits

Practical Impact for FM Teams

The practical impact of semantic search is that your team finds answers more often on the first try. With keyword search, it is common to try several different search terms before finding the right result, or to miss relevant information because you did not think to search for the term the document used.

With PM Assist's AI search, you describe what you are looking for in your own words and the system finds relevant content across all your documents. This reduces the time spent searching and increases confidence that you have found all relevant information.

Frequently asked questions

Is AI search always better than keyword search?
For most building documentation queries, AI semantic search provides better results because it handles terminology variations and understands context. For very specific searches where you know the exact text to find (like a document number), keyword search may be equally effective.
How accurate is AI search for technical content?
PM Assist's AI search is trained on a broad corpus that includes technical and engineering content. It understands common FM and building services terminology. Every answer includes source citations so you can verify accuracy against the original documents.
Does PM Assist also support keyword search?
PM Assist is designed around AI semantic search, which provides the best experience for building documentation queries. The semantic search capability also handles exact keyword matches, so you get the benefits of both approaches in a single search.

Experience AI-Powered Document Search

Upload your building documents and see the difference AI semantic search makes. Find answers faster with PM Assist.

  • Upload and organise building documentation
  • AI-powered search across all your manuals
  • Source-cited answers for every query
  • Team collaboration and access control
  • No credit card required to start