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by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale |
 | Neo4j: The Definitive Guide: Hands-On Recipes for Production Ready Graph Implementations (2025)
by Misquitta, Luanne, Willemsen, Christophe |
 | How Large Language Models Work (2025)
by Raff, Edward, Farris, Drew, Biderman, Stella |
 | AI for Everyday IT: Accelerate workplace productivity (2025)
by LeMaire, Chrissy, Abshire, Brandon |
 | PRACTICAL LARGE LANGUAGE MODELS: An End-to-end Approach to LLMs (Advanced Systems Engineering Book 1) (2025)
by Publishing, Heidelmann , Brenner , sophia |
 | Quarkus Unleashed: A Deep Dive into Cloud-Native Java (2025)
by Tripathy, P |
 | Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI (2025)
by Anthapu, Ravindranatha, Agarwal, Siddhant, Webber, Dr. Jim, Risch, Dr. Julian |
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by Anthapu, Ravindranatha, Agarwal, Siddhant, Webber, Dr. Jim, Risch, Dr. Julian |
 | Understanding LangChain4j: 2nd Edition (agoncal fascicles) (2025)
by Goncalves, Antonio |
 | Understanding LangChain4j: 2nd Edition (agoncal fascicles) (2025)
by Goncalves, Antonio |
 | Quarkus Essentials: Definitive Reference for Developers and Engineers (2025)
by Johnson, Richard |
 | The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025)
by Caldwell, Thomas R. |
 | Designing Large Language Model Applications: A Holistic Approach to LLMs (2025)
by Pai, Suhas |
 | Getting Started with Neo4j: A Beginner’s Guide to Graph Database Technology (2025)
by PANCHTILAK, NARENDRA |
 | Quarkus in Action (2025)
by Štefanko, Martin, Martiška, Jan |
 | LLMs in Production: From language models to successful products (2025)
by Brousseau, Christopher, Sharp, Matt |
 | AI Engineering: Building Applications with Foundation Models (2025)
by Huyen, Chip |
 | Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications (2024)
by Berryman, John, Ziegler, Albert |
 | Build a Large Language Model (From Scratch) (2024)
by Sebastian Raschka, Julie Brierley, Manning Publications |
 | Data Structures and Algorithms in Java: A Project-Based Approach (2024)
by Myers, Dan S. |
 | Thinking Like A Large Language Model: Become an AI manager (2024)
by SUNDARARAJAN, MUKUND |
 | Build a Large Language Model (From Scratch) (2024)
by Raschka, Sebastian |
 | LLM Engineer's Handbook: Master the art of engineering large language models from concept to production (2024)
by Iusztin, Paul, Labonne, Maxime, Chaumond, Julien, Tahir, Hamza, Antonio Gulli |
 | Hands-On Large Language Models: Language Understanding and Generation (2024)
by Alammar, Jay, Grootendorst, Maarten |
 | Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series) (2024)
by Ozdemir, Sinan |
 | Large Language Models: A Deep Dive: Bridging Theory and Practice (2024)
by Kamath, Uday, Keenan, Kevin, Somers, Garrett, Sorenson, Sarah |
 | Graph Algorithms for Data Science: With examples in Neo4j (2024)
by Bratanic, Tomaž |
 | Designing Hexagonal Architecture with Java: Build maintainable and long-lasting applications with Java and Quarkus (2023)
by Vieira, Davi |
 | The Definitive Guide To QUARKUS: Beginning guide on Quarkus Framework: Build Cloud-Native Enterprise Java Applications etc. (2023)
by CUTTS, ERIC |
 | Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j (2022)
by Anthapu, Ravindranatha |
 | Full Stack Quarkus and React: Hands-on full stack web development with Java, React, and Kubernetes (2022)
by Felix, Marc Nuri San, Bueno, Alex Soto |
 | Full Stack Quarkus and React: Hands-on full stack web development with Java, React, and Kubernetes (2022)
by Felix, Marc Nuri San, Bueno, Alex Soto |
 | Kubernetes Native Microservices with Quarkus and MicroProfile (2022)
by Clingan, John, Finnigan, Ken |
 | Understanding Quarkus: Quarkus 2.x (agoncal fascicles) (2021)
by Goncalves, Antonio |
 | Practising Quarkus: Quarkus 2.x (agoncal fascicles) (2021)
by Goncalves, Antonio |
 | Reactive Systems in Java: Resilient, Event-Driven Architecture with Quarkus (2021)
by Escoffier, Clement, Finnigan, Ken |
 | AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020)
by Moroney, Laurence |
 | Beginning Quarkus Framework: Build Cloud-Native Enterprise Java Applications and Microservices (2020)
by Koleoso, Tayo |
 | Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise (2020)
by Scifo, Estelle |
 | Quarkus Cookbook: Kubernetes-Optimized Java Solutions (2020)
by Bueno, Alex Soto, Porter, Jason |
 | Graph Algorithms: Practical Examples in Apache Spark and Neo4j (2019)
by Needham, Mark, Hodler, Amy E. |
 | Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner (2018)
by Cutajar, James |
 | Learning Neo4j 3.x - Second Edition: Effective data modeling, performance tuning and data visualization techniques in Neo4j (2017)
by Baton, Jerome, Bruggen, Rik Van |
 | Think Data Structures: Algorithms and Information Retrieval in Java (2017)
by Downey, Allen |
 | Beginning Neo4j (2015)
by Kemper, Chris |
 | Neo4j Graph Data Modeling: Design efficient and flexible databases by optimizing the power of Neo4j (2015)
by Lal, Mahesh |
 | Neo4j Cookbook (2015)
by Goel, Ankur |
 | Neo4j High Performance (2015)
by Raj, Sonal |
 | Neo4j Essentials (2015)
by Gupta, Sumit |
 | Practical Neo4j (2014)
by Jordan, Gregory |
