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LangChain4J is a Java-based library inspired by the popular Python library LangChain, which is a framework for
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The demos comprise Java code samples with Spring AI, LangChain4J, OpenAI, the Oracle Database 23ai, and Oracle AI Vector Search.
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Blazingly Fast GenAI App Development using Spring AIJuarez Junior
Spring AI is a project aiming to simplify the development of applications that integrate artificial intelligence (AI) functionalities.
It focuses on the core belief that the next wave of Generative AI applications will be ubiquitous across many programming languages, including Java.
So, it achieves this by providing abstractions and interfaces that manage the complexity of AI models.
This talk provides an excellent introduction to Spring AI, its use, and the typical use cases it can address.
The demos comprise Java code samples with Spring AI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
The Trinity in GenAI - Spring AI, LangChain4J and OpenAIJuarez Junior
LangChain4J is a Java-based library inspired by the popular Python library LangChain, which is a framework for
Generative AI applications, allowing developers to connect various building blocks easily to create powerful AI applications.
Spring AI aims to apply Spring ecosystem design principles such as portability and modular design to the AI domain.
It encapsulates many of the complexities required to interact with several different GenAI providers, such as OpenAI.
The demos comprise Java code samples with Spring AI, LangChain4J, OpenAI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
Rise of the Phoenix: Lesson Learned Build an AI-powered Test Gen Enginestevebrudz1
In this talk, I give an overview and demo of Phoenix, an AI-powered test generation engine for Ruby on Rails applications, and share lessons learned while building it. I presented this at the Artificial Ruby Meet Up in NYC on March 4, 2025.
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