Introducing the IBM RAG Cookbook

Retrieval-augmented generation (RAG) is an artificial intelligence (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 have gained valuable insights into what works and what doesn't, by tackling a diverse range of projects across different industries.

The IBM RAG Cookbook is 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.

Start building with the IBM RAG Cookbook

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

Explore the IBM RAG Cookbook