Free eBook
Essential GraphRAG: Build a hybrid RAG system for every question type
By Tomaž Bratanič and Oskar Hane
Publisher: Manning
Production-ready RAG systems combine structured and unstructured data while connecting entities across data types.
Vector-based RAG applications often return results in the wrong data shape and generate incomplete or inaccurate responses. The issue? Vector retrieval alone can’t answer questions about the structure of your data.
In Essential GraphRAG, two leading AI engineers show you how to build a more robust RAG system—one you can scale to production because it handles complex questions.
You’ll learn how to:
- Implement vector similarity search with advanced embedding strategies
- Combine structured and unstructured data with a knowledge graph
- Create an agentic system with multiple retrievers
- Design benchmarks for your RAG solution
Get your copy now—it’s free for a limited time.
