Kniha Essential Graphrag Oscar Hane

Essential Graphrag

Autor: Oscar Hane
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
1 087
Upgrade your RAG applications with the power of knowledge graphs.Retrieval Augmented Generation (RAG...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2025
Stránek
175
EAN
9781633436268
ISBN
1633436268
Enbook ID
48971495
Hmotnost
209

Kompletní popis

Upgrade your RAG applications with the power of knowledge graphs.

Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM''s training data and to avoid depending on LLM for factual information. However, RAG only works when you can quickly identify and supply the most relevant context to your LLM. Essential GraphRAG shows you how to use knowledge graphs to model your RAG data and deliver better performance, accuracy, traceability, and completeness.

Inside Essential GraphRAG you''ll learn:

  • The benefits of using Knowledge Graphs in a RAG system
  • How to implement a GraphRAG system from scratch
  • The process of building a fully working production RAG system
  • Constructing knowledge graphs using LLMs
  • Evaluating performance of a RAG pipeline

Essential GraphRAG is a practical guide to empowering LLMs with RAG. You''ll learn to deliver vector similarity-based approaches to find relevant information, as well as work with semantic layers, and generate Cypher statements to retrieve data from a knowledge graph.

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