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MARKET RESEARCH: RETRIEVAL AUGMENTED GENERATION

Download the Gartner report on
implementing RAG for GenAI

Get Gartner's latest report for valuable insights on how to deploy a retrieval-augmented generation (RAG) architecture to ensure that your LLM AI agents are grounded using relevant enterprise knowledge and enterprise data. 

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Deploy RAG to Ground Your LLMs

Learn from the experts about:

  • How RAG minimizes GenAI hallucinations
  • How to use vector databases and enterprise data in RAG
  • Pitfalls to avoid in implementing RAG
  • How RAG fits into the overall agentic AI framework

Vital market research and analysis

Enterprises building GenAI applications that incorporate large language models are experiencing problems with hallucinations, grounding, poor user experience and inappropriate data stores for use with LLMs.
Software engineering leaders must address
these issues to ensure successful use of GenAI. 

This Gartner paper was written By Van Baker, Haritha Khandabattu, Philip Walsh

* Gartner, Early Lessons in Building LLM-Based Generative AI Solutions, 6 August 2024.
* GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

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