Keep Your AI Knowledge in Sync
AI Sync Agents automatically ingest and update content from repositories like SharePoint and Google Drive and build enterprise AI answers from current, connected knowledge without manually updating knowledge box source files.
The Living Foundation Behind Enterprise AI
AI Sync Agents maintain the knowledge foundation supporting the Progress® Agentic RAG solution by continuously synchronizing enterprise repositories. This enables retrieval and orchestration layers that operate on up-to-date content—supporting consistent, production-ready AI outcomes without the need for manual ingestion processes.
Enterprise-Scale Content Synchronization
Designed to handle large, distributed content ecosystems by continuously syncing changes across repositories into a unified retrieval-ready environment.
Modular Synchronization within a Flexible AI Architecture
Operate as part of a modular platform that adapts to changing enterprise AI requirements by:
- Adding or expanding content sources without rebuilding retrieval pipelines or orchestration workflows.
- Aligning synchronization with evolving use cases, enabling teams to scale AI initiatives incrementally and safely.
LLM-Agnostic Knowledge Preparation
Uses continuously synchronized content regardless of which LLM powers your AI experience by:
- Supporting model flexibility by keeping enterprise context consistent—even as organizations change LLM providers.
- Reducing rework and enabling faster experimentation with new models while maintaining stable retrieval quality.
Key Benefits:
Continuous Content Alignment
Automatically ingests and updates enterprise content across repositories, resulting in AI experiences that stay aligned with evolving business information. This reduces manual upkeep, prevents knowledge drift and keeps teams working from connected, reliable content without the need for constant intervention.
Improved Answer Reliability Across AI Workflows
Continuously synchronizes enterprise content to help with retrieval and orchestration layers that operate on complete, structured context. This improves answer quality, reduces gaps caused by outdated information and strengthens trust in AI outputs across teams and use cases.
Scalable Content Operations for Enterprise AI
Enable organizations to expand AI use cases without the need to scale manual ingestion processes. Automated synchronization across systems also supports enterprise growth, allowing teams to onboard new content sources quickly while maintaining consistency, governance and operational control.
Ready to Get Started?
Index files and documents from internal and external sources to fuel your company use cases.