{"product_id":"essential-graphrag","title":"Essential GraphRAG","description":"\u003cp\u003e\u003cb\u003eUpgrade your RAG applications with the power of knowledge graphs.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eRetrieval 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. \u003ci\u003eEssential GraphRAG\u003c\/i\u003e shows you how to use knowledge graphs to model your RAG data and deliver better performance, accuracy, traceability, and completeness.\u003c\/p\u003e\u003cp\u003eInside \u003ci\u003eEssential GraphRAG\u003c\/i\u003e you’ll learn:\u003c\/p\u003e\u003cp\u003e• The benefits of using Knowledge Graphs in a RAG system\u003cbr\u003e• How to implement a GraphRAG system from scratch\u003cbr\u003e• The process of building a fully working production RAG system\u003cbr\u003e• Constructing knowledge graphs using LLMs\u003cbr\u003e• Evaluating performance of a RAG pipeline\u003c\/p\u003e\u003cp\u003e\u003ci\u003eEssential GraphRAG\u003c\/i\u003e 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, deliver agentic RAG, and generate Cypher statements to retrieve data from a knowledge graph.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eA Retrieval Augmented Generation (RAG) system automatically selects and supplies domain-specific context to an LLM, radically improving its ability to generate accurate, hallucination-free responses. The GraphRAG pattern employs a knowledge graph to structure the RAG’s input, taking advantage of existing relationships in the data to generate rich, relevant prompts.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eEssential GraphRAG\u003c\/i\u003e shows you how to build and deploy a production-quality GraphRAG system. You’ll learn to extract structured knowledge from text and how to combine vector-based and graph-based retrieval methods. The book is rich in practical examples, from building a vector similarity search retrieval tool and an Agentic RAG application, to evaluating performance and accuracy, and more.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e• Embeddings, vector similarity search, and hybrid search\u003cbr\u003e• Turning natural language into Cypher database queries\u003cbr\u003e• Microsoft’s GraphRAG pipeline\u003cbr\u003e• Agentic RAG\u003c\/p\u003e\u003cp\u003eAbout the reader\u003c\/p\u003e\u003cp\u003eFor readers with intermediate Python skills and some experience with a graph database like Neo4j.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThe author of Manning’s Graph Algorithms for Data Science and a contributor to LangChain and LlamaIndex, \u003cb\u003eTomaž Bratanic\u003c\/b\u003e has extensive experience with graphs, machine learning, and generative AI. \u003cb\u003eOskar Hane\u003c\/b\u003e leads the Generative AI engineering team at Neo4j.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e1 Improving LLM accuracy\u003cbr\u003e2 Vector similarity search and hybrid search\u003cbr\u003e3 Advanced vector retrieval strategies\u003cbr\u003e4 Generating Cypher queries from natural language questions\u003cbr\u003e5 Agentic RAG\u003cbr\u003e6 Constructing knowledge graphs with LLMs\u003cbr\u003e7 Microsoft’s GraphRAG implementation\u003cbr\u003e8 RAG application evaluation\u003cbr\u003eA The Neo4j environment\u003c\/p\u003e\u003cp\u003eGet a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eeBook License\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty and License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant of License\u003c\/p\u003e\u003cp\u003eManning has authorized the download by you of an unrestricted number of copies of the electronic book (ebook) in any of the available formats. Manning grants you a nonexclusive, nontransferable license to use the ebook according to the terms and conditions herein. This License Agreement permits you to install the ebook on any and all your devices for your personal use only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou shall not: (1) share, resell, rent, assign, timeshare, distribute, or transfer all or part of the ebook or any rights granted hereunder to any other person; (2) duplicate the ebook, except for a single backup or archival copy; (3) remove any proprietary notices, labels, or marks from the ebook; (4) transfer or sublicense title to the ebook to any other party.\u003c\/p\u003e\u003cp\u003e3. Intellectual Property Protection\u003c\/p\u003e\u003cp\u003eThe ebook is owned by Manning and is protected by United States and international copyright and other intellectual property laws. Manning reserves all rights in the ebook not expressly granted herein. This license and your right to use the ebook terminate automatically if you violate any part of this Agreement. In the event of termination, you must remove the original and any copies of the ebook from all your devices.\u003c\/p\u003e\u003cp\u003e4. Source Code Supplementary Material\u003c\/p\u003e\u003cp\u003eAny source code files provided as a supplement to the book are freely available to the public for download. Reuse of the code is permitted, in whole or in part, including the creation of derivative works, provided that you acknowledge that you are using it and identify the source: title, publisher and year.\u003c\/p\u003e\u003cp\u003e5. Limited Warranty\u003c\/p\u003e\u003cp\u003eManning warrants that the ebook files, a copy of which you are authorized to download, are free from defects in the operational sense that they can be read by a PDF Reader or ePub reader, or other. EXCEPT FOR THIS EXPRESS LIMITED WARRANTY, MANNING MAKES AND YOU RECEIVE NO WARRANTIES, EXPRESS, IMPLIED, STATUTORY OR IN ANY COMMUNICATION WITH YOU, AND MANNING SPECIFICALLY DISCLAIMS ANY OTHER WARRANTY INCLUDING THE IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS OR A PARTICULAR PURPOSE. MANNING DOES NOT WARRANT THAT THE OPERATION OF THE EBOOK WILL BE UNINTERRUPTED OR ERROR FREE. If the ebook was purchased in the United States, the above exclusions may not apply to you as some states do not allow the exclusion of implied warranties. In addition to the above warranty rights, you may also have other rights that vary from state to state.\u003c\/p\u003e\u003cp\u003e6. Limitation of Liability\u003c\/p\u003e\u003cp\u003eIN NO EVENT WILL MANNING BE LIABLE FOR ANY DAMAGES, WHETHER ARISING FOR TORT OR CONTRACT, INCLUDING LOSS OF DATA, LOST PROFITS, OR OTHER SPECIAL, INCIDENTAL, CONSEQUENTIAL, OR INDIRECT DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE EBOOK.\u003c\/p\u003e\u003cp\u003e7. General\u003c\/p\u003e\u003cp\u003eThis Agreement constitutes the entire agreement between you and Manning and supersedes any prior agreement concerning the ebook. This Agreement is governed by the laws of the State of New York.\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506484318278,"sku":"9781633436268","price":4432.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506484351046,"sku":"9781633436268-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/61UJlDVmOmL._SY342.jpg?v=1790330350","url":"https:\/\/cb-india.com\/products\/essential-graphrag","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}