RAG Collections

Enhance knowledge retrieval with Retrieval-Augmented Generation (RAG) Collections, enabling designers to create and configure collections from external data sources.

RAG collections help designers efficiently manage and organize data from files and URLs using AI-powered semantic analysis for more relevant retrieval. They serve as a structured data source in FlowGenie Studio, enhancing Genies' ability to access and use information.

• External Data Sources: Upload files, or URLs, with automatic data extraction and storage.

• FlowGenie Integration: Genies use RAG collections for better data retrieval, with configurable match thresholds and limits.

• Enhanced Insights: AI-driven analysis improves question-answering with precise, context-aware responses.

• External System Support: APIs and data connectors enable seamless data exchange.

• Automation: Files added through processes are automatically stored in RAG collections, streamlining workflows.

Learn More

• ProcessMaker Knowledge Center: Find detailed product documentation.
• ProcessMaker University: Enroll in free courses to learn how to use ProcessMaker Platform.