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Introducing the IBM RAG Cookbook
IBM Developer

Blog post

Introducing the IBM RAG Cookbook

A comprehensive collection of best practices, considerations, and tips for building RAG solutions tailored to business applications

By Dean Sacoransky, Luke Major, Sara Golestaneh

Retrieval-augmented generation (RAG) is an AI architecture that integrates proprietary company data into AI systems, which enables those AI systems to specialize in internal documents and drive efficiency across business functions.

Since the launch of watsonx in May 2023, IBM has completed thousands of RAG projects for large enterprise clients worldwide. Along the way, we’ve gained valuable insights into what works, and quite honestly what doesn’t work, by tackling a diverse range of projects across different industries.

We are excited to present the IBM RAG Cookbook, a comprehensive collection of best practices, considerations, and tips for building RAG solutions tailored to a variety of business applications.

What makes the IBM RAG Cookbook unique?

The IBM RAG Cookbook:

  • Provides real-world insights. The Cookbook draws on insights from IBM’s experience with enterprise clients.
  • Uses a modern AI stack. Explore how to harness the latest tools, ranging from IBM’s watsonx.ai to open-source frameworks like LangChain and LlamaIndex, to solve practical business challenges.
  • Provides step-by-step guidance. The Cookbook provides end-to-end coverage of the entire RAG pipeline, from document ingestion and answer generation to system evaluation.

Ready to get started?

Enterprise AI and RAG are rapidly evolving fields. IBM will continue to update this cookbook as new innovations and technologies emerge.

Access the IBM RAG Cookbook and start building today!