Project Document Search
AI-powered search across all project documentation types.
Definition
Project Document Search enables natural language queries across all project documentation—drawings, specifications, RFIs, submittals, meeting minutes, emails, and more. Unlike traditional search that requires knowing which system or folder contains the information, AI-powered project search understands content across all document types and returns relevant results regardless of where the information is stored. This unified search eliminates information silos.
In Depth
Every project team has the same experience: someone needs a piece of information — a door hardware specification, a soil bearing capacity value, the approved finish schedule — and they spend 20 minutes clicking through folders trying to find it. Multiply that by every team member, multiple times a day, across every active project, and document search becomes a massive productivity drain.
AI-powered project document search replaces the folder-hunting with natural language queries. Type "what is the specified concrete strength for the second floor slab" and get the answer with the source citation in seconds. The AI searches across all project documents — specs, drawings, reports, submittals, meeting minutes, emails — and returns the most relevant results regardless of where the information lives.
The bigger impact is on decision quality. When finding information takes 20 minutes, people often rely on memory or make assumptions instead of looking it up. When finding information takes 10 seconds, people verify. This means fewer errors from outdated information, fewer assumptions that turn into RFIs, and faster resolution of field questions. The productivity gain from faster search is real, but the quality gain from better-informed decisions may be even more valuable.
Examples
Finding all references to a specific product across drawings, specs, and submittals
Searching for decisions made about a design change across all documentation
Locating the latest version of information regardless of where it's stored
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use project document search across your existing project data:
Frequently Asked Questions
Project Document Search enables natural language queries across all project documentation—drawings, specifications, RFIs, submittals, meeting minutes, emails, and more. Unlike traditional search that requires knowing which system or folder contains the information, AI-powered project search understands content across all document types and returns relevant results regardless of where the information is stored. This unified search eliminates information silos.
Finding all references to a specific product across drawings, specs, and submittals. Searching for decisions made about a design change across all documentation. Locating the latest version of information regardless of where it's stored.
Project Research: Instantly access all project-critical information from a single search interface.