The RAG Capabilities of FileMaker 2025

RAG capabilities in FileMaker 2025

Doug Wallis and Rick Kalman, Claris Platform Evangelists, were on the mic for our October Claris Beyond Meetup. Listen in as they review an internal use case built around FileMaker 2025’s RAG capabilities – creating a system to validate employees’ training and onboarding. 

Rick kicks things off with a tour of FileMaker’s evolving AI landscape, showing us features like the early Core ML integrations and the brand-new AI Services tab in FileMaker Server.

The platform now gives developers hands-on control of local and cloud-based AI models. New script steps like these let you query data conversationally, opening up smarter and more flexible workflows.

  • Generate Response for Model
  • Perform Find by Natural Language
  • Perform RAG Action

Turn static documentation into an interactive knowledge base

Doug follows up by demonstrating how RAG can turn static documentation into an interactive knowledge base. Using embedded PDFs and local models, a FileMaker system can answer onboarding questions, verify employee materials, and even tailor responses based on context, all without sending data outside your environment.

These tools are no longer ideas of the future. They’re ready to use now. No matter if you’re automating HR tasks, improving customer service, or rethinking internal knowledge systems, RAG can give your solutions a serious boost.

Explore the Claris resources mentioned during the session

At the beginning of the call, you’ll see a new slide deck provided by Rick, outlining the many ways that you, as developers and FileMaker users, can make the most of the program and your solutions.

Ready to talk more about AI integrations for your business?

As a Claris Platinum Partner, we stay in tune with the ongoing growth of the FileMaker platform and its reputation for security, reliability, and performance. We’re glad to bring those innovations into your company processes and workflows as well. Schedule a complimentary consultation today.


This piece represents a collaboration between the human authors and AI technologies, which assisted in both drafting and refinement. The authors maintain full responsibility for the final content.

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