Essential GraphRAG: Knowledge Graph-Enhanced Rag - Image 1

£37.84

Manning Essential GraphRAG: Knowledge Graph-Enhanced Rag

Name: Essential GraphRAG: Knowledge Graph-Enhanced Rag
Brand: Manning
Price: 37.84 GBP
Availability: InStock

Database Management Systems

This is the most expensive it has ever been. Walk away.

£38 today · previous high £38 · all-time low £34

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 31 days • 31 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 31 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £38 (10 days, 32.3%)

Price range: £34 - £38

Price levels: 5 different prices over 31 days

Description

Your LLM keeps hallucinating, and clients are beginning to lose trust. Generative AI can amaze users one moment and confuse them the next when answers are based on guesswork rather than verified facts. What if you could design systems that deliver accurate, traceable, and relevant information every time? By combining knowledge graphs with retrieval-augmented generation, you can build solutions that power GenAI models with structured, reliable data and keep stakeholders confident in every interaction. Knowledge graph basics: Model context data for instant, precise retrieval. Vector similarity search toolkit: Surface only the most relevant passages, cut noise. Agentic RAG workflow: Orchestrate multi-step reasoning that scales to production. Cypher and Python templates: Drop-in code accelerates prototypes to deployable services. Evaluation framework: Measure accuracy, latency, and traceability with confidence. Hybrid structured plus unstructured guidance: Integrate PDFs, databases, and APIs into one coherent knowledge base. Essential GraphRAG by graph experts Tomaž Bratanič and Oskar Hane arrives to show data teams exactly how to hard-wire reliability into GenAI projects. Through concise explanations and fully worked examples, the authors guide you from raw text to a Neo4j-backed knowledge graph powering Retrieval Augmented Generation. Each chapter pairs theory with runnable notebooks, so you see instant results. Finish the book able to architect, build, and benchmark a production-ready RAG pipeline that your stakeholders can audit and trust. The techniques transfer to any domain and future model. For data scientists and Python developers with basic Neo4j skills who want bulletproof GenAI, this is your next step.

Key Features

New Store Stock

Product Specifications

Brand: Manning
Format: paperback
ASIN: 1633436268
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Database Management Systems
Domain: Amazon UK
Release Date: 28 August 2025
Listed Since: 31 May 2025

Barcode

No barcode data available

Manning Essential GraphRAG: Knowledge Graph-Enhanced Rag

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Graph Databases in Action

Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions (Intelligent Data-Centric Systems)

Architectures for the Intelligent AI-Ready Enterprise: Building real-world solutions with MongoDB

Hugging Face in Action

A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP

Databricks Certified Generative AI Engineer Associate Hands-On Exam Prep: Build a Real RAG + Agent System with the PawShield Case Study

Knowledge Graphs A Complete Guide - 2019 Edition

Heterogeneous Graph Representation Learning and Applications (Artificial Intelligence: Foundations, Theory, and Algorithms)

Agentic AI Unleashed: A guide to designing, building, and deploying autonomous AI systems (English Edition)

Introduction to Generative AI: An Ethical, Societal, and Legal Overview

How Large Language Models Work

Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications (Computing and Networks)

LLMs in Action: Text, Tables, Images and Sound

Elastic Stack 8.x Cookbook: Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights

AI Development: How Tech Leaders Can Build and Deploy Useful AI

Explainable AI for Transparent and Trustworthy Medical Decision Support

Agentic AI with Microsoft Foundry: Design and develop intelligent AI solutions and autonomous agents with Microsoft's Agent Framework

Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python

Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)

Data Storytelling with Generative AI: Using Python and Altair

A Common-Sense Guide to AI Engineering: Build Production-Ready LLM Applications

Distributed Graph Analytics: Programming, Languages, and Their Compilation

Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence: 32 (Lecture Notes on Data Engineering and Communications Technologies, 32)

Neuro-Symbolic AI: Integrating Neural Networks and Symbolic Reasoning