LangChain4j :: Integration :: Infinispan

LicenseApache 2.0
Tagsinfinispancacheailangchain
HomePage https://github.com/langchain4j/langchain4j/tree/main/langcha ... 🔍 Inspect URL
Ranking#929847 in MvnRepository (See Top Artifacts)

VersionVulnerabilitiesRepositoryUsagesDate
1.8.x
1.8.0-beta15Central
0
Oct 24, 2025
1.7.x
1.7.1-beta14Central
0
Oct 02, 2025
1.7.0-beta13Central
0
Oct 02, 2025
1.6.x
1.6.0-beta12Central
0
Sep 26, 2025
1.5.x
1.5.0-beta11Central
0
Sep 16, 2025
1.4.x
1.4.0-beta10Central
0
Aug 28, 2025
1.3.x
1.3.0-beta9Central
0
Aug 07, 2025
1.2.x
1.2.0-beta8Central
0
Jul 29, 2025
1.1.x
1.1.0-beta7Central
0
Jun 18, 2025
1.0.x
1.0.1-beta6Central
0
May 20, 2025
1.0.0-beta5Central
0
May 14, 2025
1.0.0-beta4Central
0
May 02, 2025
1.0.0-beta3Central
0
Apr 11, 2025
1.0.0-beta2Central
0
Mar 13, 2025
1.0.0-beta1Central
0
Feb 05, 2025
1.0.0-alpha1Central
0
Dec 22, 2024
0.36.x
0.36.2Central
0
Nov 21, 2024
0.36.1Central
0
Nov 19, 2024
0.36.0Central
0
Nov 13, 2024
0.35.x
0.35.0Central
0
Sep 25, 2024

Related Books

Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java EnterpriseApplied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025)
by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale
Latency: Reduce delay in software systemsLatency: Reduce delay in software systems (2025)
by Enberg, Pekka
How Large Language Models WorkHow Large Language Models Work (2025)
by Raff, Edward, Farris, Drew, Biderman, Stella
AI for Everyday IT: Accelerate workplace productivityAI 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)PRACTICAL LARGE LANGUAGE MODELS: An End-to-end Approach to LLMs (Advanced Systems Engineering Book 1) (2025)
by Publishing, Heidelmann , Brenner , sophia
Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AIBuilding 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
Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AIBuilding 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
Understanding LangChain4j: 2nd Edition (agoncal fascicles)Understanding LangChain4j: 2nd Edition (agoncal fascicles) (2025)
by Goncalves, Antonio
Understanding LangChain4j: 2nd Edition (agoncal fascicles)Understanding LangChain4j: 2nd Edition (agoncal fascicles) (2025)
by Goncalves, Antonio
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI SystemsThe 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 LLMsDesigning Large Language Model Applications: A Holistic Approach to LLMs (2025)
by Pai, Suhas
LLMs in Production: From language models to successful productsLLMs in Production: From language models to successful products (2025)
by Brousseau, Christopher, Sharp, Matt
Performance Engineering Best Practices: Building high performance cloud IT platforms using Java (English Edition)Performance Engineering Best Practices: Building high performance cloud IT platforms using Java (English Edition) (2025)
by V. Jones, Nolan
AI Engineering: Building Applications with Foundation ModelsAI Engineering: Building Applications with Foundation Models (2025)
by Huyen, Chip
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based ApplicationsPrompt 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)Build a Large Language Model (From Scratch) (2024)
by Sebastian Raschka, Julie Brierley, Manning Publications
Optimizing Cloud Native Java: Practical Techniques for Improving JVM Application PerformanceOptimizing Cloud Native Java: Practical Techniques for Improving JVM Application Performance (2024)
by Evans, Benjamin J., Gough, James
Thinking Like A Large Language Model: Become an AI managerThinking Like A Large Language Model: Become an AI manager (2024)
by SUNDARARAJAN, MUKUND
Build a Large Language Model (From Scratch)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 productionLLM 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 GenerationHands-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)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 PracticeLarge Language Models: A Deep Dive: Bridging Theory and Practice (2024)
by Kamath, Uday, Keenan, Kevin, Somers, Garrett, Sorenson, Sarah
JVM Performance Engineering: Inside OpenJDK and the HotSpot Java Virtual Machine (Developer's Library)JVM Performance Engineering: Inside OpenJDK and the HotSpot Java Virtual Machine (Developer's Library) (2024)
by Beckwith, Monica
AI and Machine Learning for Coders: A Programmer's Guide to Artificial IntelligenceAI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020)
by Moroney, Laurence
Java Performance: In-Depth Advice for Tuning and Programming Java 8, 11, and BeyondJava Performance: In-Depth Advice for Tuning and Programming Java 8, 11, and Beyond (2020)
by Oaks, Scott
Optimizing Java: Practical Techniques for Improving JVM Application PerformanceOptimizing Java: Practical Techniques for Improving JVM Application Performance (2018)
by Evans, Benjamin J, Gough, James, Newland, Chris
Troubleshooting Java Performance: Detecting Anti-Patterns with Open Source ToolsTroubleshooting Java Performance: Detecting Anti-Patterns with Open Source Tools (2017)
by Ostermueller, Erik
High-Performance Java PersistenceHigh-Performance Java Persistence (2016)
by Mihalcea, Vlad
Java Performance CompanionJava Performance Companion (2016)
by Hunt, Charlie, Parhar, Poonam, Rutisson, Bengt, Beckwith, Monica
Infinispan Data Grid Platform Definitive GuideInfinispan Data Grid Platform Definitive Guide (2015)
by Santos, Wagner Roberto dos
Java Performance: The Definitive Guide: Getting the Most Out of Your CodeJava Performance: The Definitive Guide: Getting the Most Out of Your Code (2014)
by Oaks, Scott
Infinispan Data Grid PlatformInfinispan Data Grid Platform (2012)
by Marchioni, Francesco, Surtani, Manik