Quarkus LangChain4j Integration Tests Embeddings Bge Small EN

LicenseApache 2.0
Tagsembeddedquarkusintegrationtestingailangchain
DateNov 12, 2025
Filespom (3 KB)  jar (4 KB)  View All
RepositoriesCentral
Ranking#898559 in MvnRepository (See Top Artifacts)

Scope:
Scope:
Format:
Scope:
Scope:
Scope:
Scope:
Scope:
Scope:

Compile Dependencies (3)

Test Dependencies (4)

Licenses

LicenseURL
Apache License, Version 2.0 https://www.apache.org/licenses/LICENSE-2.0.txt

Developers

NameEmailDev IdRolesOrganization
Quarkus Communityquarkus

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
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
Quarkus Unleashed: A Deep Dive into Cloud-Native JavaQuarkus 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 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
Quarkus Essentials: Definitive Reference for Developers and EngineersQuarkus 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 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
Quarkus in ActionQuarkus in Action (2025)
by Štefanko, Martin, Martiška, Jan
LLMs in Production: From language models to successful productsLLMs in Production: From language models to successful products (2025)
by Brousseau, Christopher, Sharp, Matt
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
Pragmatic Unit Testing in Java with JUnitPragmatic Unit Testing in Java with JUnit (2024)
by Langr, Jeff
Build a Large Language Model (From Scratch)Build a Large Language Model (From Scratch) (2024)
by Sebastian Raschka, Julie Brierley, Manning Publications
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
Designing Hexagonal Architecture with Java: Build maintainable and long-lasting applications with Java and QuarkusDesigning 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.The Definitive Guide To QUARKUS: Beginning guide on Quarkus Framework: Build Cloud-Native Enterprise Java Applications etc. (2023)
by CUTTS, ERIC
Test-Driven Development with Java: Create higher-quality software by writing tests first with SOLID and hexagonal architectureTest-Driven Development with Java: Create higher-quality software by writing tests first with SOLID and hexagonal architecture (2023)
by Mellor, Alan
Full Stack Quarkus and React: Hands-on full stack web development with Java, React, and KubernetesFull 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 KubernetesFull 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 MicroProfileKubernetes Native Microservices with Quarkus and MicroProfile (2022)
by Clingan, John, Finnigan, Ken
Understanding Quarkus: Quarkus 2.x (agoncal fascicles)Understanding Quarkus: Quarkus 2.x (agoncal fascicles) (2021)
by Goncalves, Antonio
Practising Quarkus: Quarkus 2.x (agoncal fascicles)Practising Quarkus: Quarkus 2.x (agoncal fascicles) (2021)
by Goncalves, Antonio
Reactive Systems in Java: Resilient, Event-Driven Architecture with QuarkusReactive Systems in Java: Resilient, Event-Driven Architecture with Quarkus (2021)
by Escoffier, Clement, Finnigan, Ken
Learning Test-Driven Development: A Polyglot Guide to Writing Uncluttered CodeLearning Test-Driven Development: A Polyglot Guide to Writing Uncluttered Code (2021)
by Siddiqui, Saleem
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
Beginning Quarkus Framework: Build Cloud-Native Enterprise Java Applications and MicroservicesBeginning Quarkus Framework: Build Cloud-Native Enterprise Java Applications and Microservices (2020)
by Koleoso, Tayo
Quarkus Cookbook: Kubernetes-Optimized Java SolutionsQuarkus Cookbook: Kubernetes-Optimized Java Solutions (2020)
by Bueno, Alex Soto, Porter, Jason
Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application developmentTest-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development (2018)
by Garcia, Alex, Farcic, Viktor
Java For Testers: Learn Java fundamentals fastJava For Testers: Learn Java fundamentals fast (2015)
by Richardson, Mr Alan J
Test Driven: TDD and Acceptance TDD for Java DevelopersTest Driven: TDD and Acceptance TDD for Java Developers (2007)
by Koskela, Lasse