The Progress® Agentic RAG solution gives developers a modular, API-first retrieval platform that includes fully managed infrastructure, flexible LLM integration and SDKs that drop into any stack so you can ship production-ready AI without the overhead.

The complexity doesn't disappear. We just handle it so you don't have to.
Many months of engineering time building and maintaining custom RAG infrastructure
Fully managed RAG pipeline via API deployed in days with no infrastructure to build or own
Hand-rolling ingestion pipelines for every content type across docs, video, audio and images
Multimodal ingestion handles every content type out of the box, turning unstructured data into AI-ready assets
LLM lock-in that forces reindexing every time the model landscape shifts
LLM-agnostic architecture lets you swap models at any time without reindexing or rearchitecting
Drop intelligent, context-aware search into any app, portal or internal tool using embeddable widgets or a few REST API calls with no custom retrieval logic required.
Explore moreUse the Progress Agentic RAG solution as the managed retrieval backbone for your AI copilot so you can ship the assistant, not the pipeline.
Supports full OEM and white-label deployments in an API-first, modular architecture, so platform builders can deliver intelligent AI answers as a native feature of their product.
Everything you need to build, ship and scale intelligent AI features without infrastructure overhead.
Plug in only what you need and go from prototype to production without platform rewrites.
Access 30+ configurable retrieval strategies and tune precision by query type without building custom logic.
Reduce hallucination risk with context-preserving segmentation that improves answer accuracy across every content format.
Build your knowledge layer once, then spin up grounded, traceable AI experiences against it again and again with the same APIs, same observability, with every use case. No bespoke pipelines. No rewrites. Start your 14-day free trial and make agentic RAG technology a repeatable part of your stack.
Launch grounded, agent‑driven AI experiences faster—without managing retrieval infrastructure.
80%
cost savings compared to building and maintaining
custom RAG infrastructure.
80%
cost savings compared to building and maintaining
custom RAG infrastructure.
Progress Agentic RAG fundamentally changed how we access and act on information across our organization.
John Doe AI & Innovation OfficerSuccess Story
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