From Text to Query: Using Natural Language Search in FileMaker 2025

Searching for data in a database often requires knowing the exact fields, operators, and syntax—something that can slow down even experienced users. With FileMaker 2025, that barrier is gone thanks to the new Find by Natural Language feature, which lets you search your data using plain English.

This update bridges the gap between human-friendly input and database-driven insights, making it easier for teams to quickly get the answers they need without technical expertise.

How Natural Language Search Works

The Find by Natural Language feature uses built-in AI capabilities to interpret your request, translate it into a structured query, and return the relevant records—all without you touching a search operator or complex find request.

Example searches you could run:

  • “Show all orders over $5,000 placed in the last 90 days”

  • “List employees who started in the marketing department this year”

  • “Find customers in New York with overdue invoices”

FileMaker processes the plain text and runs the correct SQL query or FileMaker Find operation in the background.

Why It’s a Game-Changer for Users and Developers

For users, it means no more guessing at field names or filtering options—just type what you want in everyday language. For developers, it means fewer custom search layouts, simplified training, and the ability to make complex datasets accessible to everyone in the organization.

Real-World Applications

  • Sales teams can quickly pull customer lists without relying on IT support

  • Customer service teams can filter service tickets by status or priority in seconds

  • Operations teams can review inventory or shipping records with a single request

By lowering the learning curve, Natural Language Search encourages more engagement with your data, which leads to better, faster decision-making.

The Find by Natural Language feature in FileMaker 2025 transforms how teams interact with data. Instead of navigating complex search tools, users can simply type their request in plain English and let FileMaker handle the rest.

Want to see how Claris FileMaker can make your data more accessible and actionable? Reach out to Kyo Logic here.

 

 

 

Building AI-Enhanced Workflows in FileMaker 2025: What You Can Do Now

FileMaker 2025 introduces native AI and large language model (LLM) capabilities, giving developers the power to build intelligent workflows without relying on complex integrations or external tools. From generating content to interpreting natural language queries, these new features make it possible to deliver smarter, faster, and more intuitive applications—directly within the FileMaker ecosystem.

Prompt-Based Scripting for Dynamic Content

The new Generate Response from Model script step allows you to send prompts directly to supported AI providers (such as OpenAI or Cohere) and bring the results back into FileMaker instantly. This enables dynamic content creation and on-demand text generation inside your custom apps.

Example use cases:

  • Summarizing long client emails for faster review

  • Drafting proposals or status updates directly in FileMaker

  • Generating consistent, branded responses for customer service teams

Natural Language Queries for Data Access

With Perform SQL Query / Find by Natural Language, users can search for records using plain English instead of technical query syntax. FileMaker interprets the request, converts it into an SQL or Find operation, and delivers the matching results in real time.

Example use cases:

  • “Show all invoices from the past six months over $5,000”

  • “List customers who purchased product X last year”

This feature lowers the barrier for non-technical team members while speeding up information retrieval.

Reusable Prompt Templates and Predictive Analytics

Developers can now configure Prompt Templates and ML Regression Models for AI-driven workflows that are consistent and repeatable. Predictive analytics can be embedded directly into business processes, enabling smarter forecasting and decision-making.

Example use cases:

  • Predicting future sales based on historical trends

  • Creating reusable AI prompts for marketing copy or internal reports

Why This Matters

By integrating AI natively, FileMaker 2025 eliminates the friction of managing third-party tools for AI features. Businesses can now:

  • Build custom AI-powered workflows tailored to their industry

  • Keep sensitive data inside the trusted FileMaker environment

  • Give teams natural language tools for faster, more accurate work

  • Deliver more responsive and intelligent applications without heavy coding

The AI and LLM features in FileMaker 2025 aren’t just a glimpse of the future—they’re tools you can use right now to make your apps smarter and your workflows more efficient. From natural language queries to dynamic, AI-generated content, these capabilities open new possibilities for innovation inside your existing solutions.

Want to see how Claris FileMaker’s AI features can transform your workflows? Reach out to Kyo Logic here.