Your AI Feature Shouldn't Require an AI Infrastructure Team

The Progress^® Agentic RAG solution is built for product teams: API-first, LLM-agnostic and ready for production from day one.

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Key Benefits for Product Builders

Ships AI features in days, not months

Leverages one API with any data and any LLM

Scales with your product, not against it using RAG

Same AI Goals. Without the Infrastructure Pain.

You know what you want to build. We handle everything underneath it, including ingestion, indexing, retrieval and evaluation, all offered as a complete managed service.

Challenge

Solution

Months of Work Before Day One

Building a retrieval-augmented generation (RAG) stack means months of infrastructure work before your product sees a single AI feature.

Ship Features, Not Infrastructure

Production-ready RAG from day one. Start shipping features, not pipelines.

Every Change Breaks Something

Tightly coupled pipelines make every change a risk, causing teams to stop iterating and products to stall.

Tune Freely, Break Nothing

Modular by design. Tune any part of the pipeline without breaking everything else.

One Use Case, One Pipeline, One Mess

Every new use case needs its own pipeline, causing duplication and drift to pile up fast.

One Layer, Every Experience

One knowledge layer. Every AI experience. No duplication or drift.

Key Use Cases

AI Search

Gives users instant, cited answers from your content—not a list of links to dig through.

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AI Assistant

Embeds a context-aware assistant into your product that knows your data and answers in natural language.

Product Recommendations

Surfaces the right product at the right moment using semantic understanding, not just keyword matching.

Key Capabilities

Built for product teams who need to move fast and can't afford to get AI wrong.

Modular RAG

Customize every pipeline layer—from chunking to retrieval—without rebuilding from scratch.

Semantic Chunking and Smart Segmentation

Knowledge Layer

Build one durable data foundation that powers every AI experience.

RAG-as-a-Service

The full RAG stack, managed and ready, with no infrastructure to own.

See It In Action

Build your knowledge layer once, then spin up grounded, traceable AI experiences against it again and again with the same APIs and observability, for 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.

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