Enterprise RAG

Ground AI in your data with enterprise RAG

Q: What is retrieval-augmented generation (RAG)?

RAG is a technique that retrieves relevant information from your own data sources and supplies it to a large language model, so answers are grounded in your content rather than the model's general training — improving accuracy and enabling source citations.

Q: Why do enterprises need RAG?

RAG lets organisations use generative AI on their own knowledge securely — reducing hallucinations, keeping answers current, respecting access controls and providing citations for trust and compliance.

Q: What technology do you use for RAG?

We typically build on Azure AI Search for vector and hybrid retrieval, Azure OpenAI for generation, and Microsoft 365 and Dataverse as data sources, with an orchestration layer for chunking, embeddings, retrieval and evaluation.

Q: How do you keep RAG answers secure and accurate?

We enforce data access and security trimming so users only see permitted content, evaluate retrieval and answer quality against real questions, and add citations, guardrails and monitoring for ongoing accuracy.

Retrieval-augmented generation lets your organisation use generative AI on your own knowledge — delivering accurate, current, source-cited answers while respecting security and access controls. MSDC designs and builds secure RAG solutions on Azure and Microsoft 365.

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How our RAG solutions work

A secure pipeline from your data to trustworthy, cited answers.

Ingest & Chunk

Connect documents, sites, databases and line-of-business data, then chunk and prepare it for retrieval.

Embed & Index

Generate embeddings and build vector and hybrid indexes with Azure AI Search for fast, relevant retrieval.

Retrieve

Retrieve the most relevant passages for each query, with security trimming so users only see permitted content.

Generate & Cite

Use Azure OpenAI to generate grounded answers with citations back to the source content.

Evaluate

Measure retrieval and answer quality against real questions and refine chunking, prompts and ranking.

Secure & Monitor

Enforce access control, guardrails and monitoring so the solution stays accurate, safe and compliant.

Related AI services

Extend RAG with agents and Microsoft platform AI.

Agentic RAG

Agent-driven retrieval and reasoning for complex, multi-step questions.

AI Agent Development

Conversational and autonomous agents grounded in your data.

AI for Dynamics 365

Copilot and AI agents across Dynamics 365 apps.

AI for Power Platform

AI Builder, Copilot and intelligent automation.

Put generative AI to work on your data

MSDC builds secure, accurate enterprise RAG solutions that turn your documents and data into trustworthy, cited answers.

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