Home » dev.langchain4j » langchain4j-core » 0.31.0

LangChain4j :: Core » 0.31.0

Core classes and interfaces of LangChain4j

LicenseApache 2.0
Tagsailangchain
DateMay 23, 2024
Filespom (8 KB)  jar (217 KB)  View All
RepositoriesCentralElyxor LibsKyligence PublicMulesoft
Ranking#3419 in MvnRepository (See Top Artifacts)
Used By171 artifacts

Note: There is a new version for this artifact

New Version1.8.0

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

Compile Dependencies (2)

Category/License Group / ArtifactVersionUpdates
JSON Lib
Apache 2.0		com.google.code.gson » gson 2.10.12.13.2
Logging
MIT		org.slf4j » slf4j-api 2.0.72.0.17

Provided Dependencies (1)

Category/License Group / ArtifactVersionUpdates
CodeGen
MIT		org.projectlombok » lombok 1.18.301.18.42

Test Dependencies (7)

Category/License Group / ArtifactVersionUpdates
Assertion
Apache 2.0		org.assertj » assertj-core 3.24.23.27.6
Testing
EPL 2.0		org.junit.jupiter » junit-jupiter-engine 5.10.06.0.1
Testing
EPL 2.0		org.junit.jupiter » junit-jupiter-params 5.10.06.0.1
Mocking
MIT		org.mockito » mockito-core 4.11.05.20.0
Mocking
MIT		org.mockito » mockito-junit-jupiter 4.11.05.20.0
Logging
Apache 2.0		org.tinylog » tinylog-impl 2.6.22.7.0
Logging Bridge
Apache 2.0		org.tinylog » slf4j-tinylog 2.6.22.7.0

Licenses

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

Developers

NameEmailDev IdRolesOrganization
deeplearningdynamo<at>gmail.comdeep-learning-dynamo
digital.kuraleta<at>gmail.comkuraleta

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
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
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
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
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