×
sukces
Dodano do koszyka:
sukces
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
sukces
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
sukces
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Building Neo4j-Powered Applications with LLMs. Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI Ravindranatha Anthapu, Siddhant Agarwal, Dr.Jim Webber, Dr.Julian Risch

(ebook) (audiobook) (audiobook) Książka w języku 1
Building Neo4j-Powered Applications with LLMs. Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI Ravindranatha Anthapu, Siddhant Agarwal, Dr.Jim Webber, Dr.Julian Risch - okladka książki

Building Neo4j-Powered Applications with LLMs. Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI Ravindranatha Anthapu, Siddhant Agarwal, Dr.Jim Webber, Dr.Julian Risch - okladka książki

Building Neo4j-Powered Applications with LLMs. Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI Ravindranatha Anthapu, Siddhant Agarwal, Dr.Jim Webber, Dr.Julian Risch - audiobook MP3

Building Neo4j-Powered Applications with LLMs. Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI Ravindranatha Anthapu, Siddhant Agarwal, Dr.Jim Webber, Dr.Julian Risch - audiobook CD

Autorzy:
Ravindranatha Anthapu, Siddhant Agarwal, Dr.Jim Webber, Dr.Julian Risch
Ocena:
Embark on an expert-led journey into building LLM-powered applications using Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Written by Ravindranatha Anthapu, Principal Consultant at Neo4j, and Siddhant Agrawal, a Google Developer Expert in GenAI, this comprehensive guide serves as the starting point for developers exploring alternatives to LangChain, covering frameworks like Haystack, Spring AI, and LangChain4j.
As LLMs reshape how businesses interact with customers, this book helps you to develop intelligent applications using RAG architecture and knowledge graphs, with a strong focus on overcoming one of AI’s most persistent challenges—mitigating hallucinations. You'll also learn how to model and construct Neo4j knowledge graphs with Cypher to enhance LLM responses.
Through real-world use cases like vector-powered search and personalized recommendations, the authors help you build hands-on experience with Neo4j GenAI integrations across Haystack and Spring AI. Supported by access to a companion GitHub repository, you’ll work through code-heavy examples to confidently build and deploy GenAI apps on Google Cloud.
By the end of this book, you’ll have the skills to ground LLMs with RAG and Neo4j, optimize graph performance, and strategically select the right cloud platform for your GenAI applications.

Wybrane bestsellery

O autorach książki

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Siddhant Agarwal is a seasoned DevRel professional with over a decade of experience cultivating innovation and scaling developer ecosystems globally. Currently leading Developer Relations across APAC at Neo4j and recognized as a Google Developer Expert in Gen-AI, Sid transforms local developer initiatives into global success stories with his signature Local to Global approach. Previously at Google managing flagship developer programs, he has shared his technical expertise at diverse forums worldwide, fueling inspiration and innovation.
Dr. Jim Webber is a Chief Scientist at Neo4j, where he leads the research group, working on a variety of database topics including query languages and runtimes, temporality, streaming, scale, and fault-tolerance.
He is also a Visiting Professor at Newcastle University, where he worked on fault-tolerant distributed systems at their startup Arjuna. He continued this work with Thoughtworks to enable various clients. He has co-authored several books on graph technology, which include Graph Databases (1st and 2nd editions), Building Knowledge Graphs, and REST in Practice for O'Reilly. Along with Graph Databases for Dummies for Wiley and Developing Enterprise Web Services - An Architect's Guide (Prentice-Hall).

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Zamknij Pobierz aplikację mobilną Ebookpoint