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<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/0*f6qD8NYosB2mVZD2.jpg" /></figure>No need to be a Python developer to do Generative AI! If you’re a Java developer, you can take advantage of <a href="https://docs.langchain4j.dev/">LangChain4j</a> to implement some advanced LLM integrations in your Java applications. And if you’re interested in using <a href="https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/">Gemini</a>, one of the best models available, I invite you to have a look at the following “codelab” that I worked on:<a href="https://codelabs.developers.google.com/codelabs/gemini-java-developers">Codelab — Gemini for Java Developers using LangChain4j</a>In this workshop, you’ll find various examples covering the following use cases, in crescendo approach:<ul><li>Making your fist call to Gemini (streaming &amp; non-streaming)</li><li>Maintaining a conversation</li><li>Taking advantage of multimodality by analysing images with your prompts</li><li>Extracting structured information from unstructured text</li><li>Using prompt templates</li><li>Doing text classification with few-shot prompting</li><li>Implementing Retrieval Augmented Generation to chat with your documentation</li><li>How to do Function Calling to expand the LLM to interact with external APIs and services</li></ul>You’ll find all the <a href="https://github.com/glaforge/gemini-workshop-for-java-developers">code samples on Github</a>.If you’re attending Devoxx France, be sure to attend the <a href="https://www.devoxx.fr/en/schedule/talk/?id=40285">Hands-on-Lab workshop</a> with my colleagues <a href="https://twitter.com/meteatamel">Mete Atamel</a> and <a href="https://twitter.com/val_deleplace">Valentin Deleplace</a> who will guide you through this codelab.Originally published at <a href="https://glaforge.dev/posts/2024/03/27/gemini-codelab-for-java-developers/">https://glaforge.dev</a> on March 27, 2024.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=769fbd419756" width="1" height="1" alt=""><hr><a href="https://medium.com/google-cloud/gemini-codelab-for-java-developers-using-langchain4j-769fbd419756">Gemini codelab for Java developers using LangChain4j</a> was originally published in <a href="https://medium.com/google-cloud">Google Cloud - Community</a> on Medium, where people are continuing the conversation by highlighting and responding to this story.

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--- !ruby/object:Feedjira::Parser::RSSEntry
title: Gemini codelab for Java developers using LangChain4j
url: https://medium.com/google-cloud/gemini-codelab-for-java-developers-using-langchain4j-769fbd419756?source=rss----e52cf94d98af---4
author: Guillaume Laforge
categories:
- langchain4j
- gemini
- google-cloud-platform
- gcp-app-dev
- java
published: 2024-03-29 03:27:13.000000000 Z
entry_id: !ruby/object:Feedjira::Parser::GloballyUniqueIdentifier
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content: <figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/0*f6qD8NYosB2mVZD2.jpg"
 /></figure>No need to be a Python developer to do Generative AI! If you’re a
 Java developer, you can take advantage of <a href="https://docs.langchain4j.dev/">LangChain4j</a>
 to implement some advanced LLM integrations in your Java applications. And if you’re
 interested in using <a href="https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/">Gemini</a>,
 one of the best models available, I invite you to have a look at the following “codelab”
 that I worked on:<a href="https://codelabs.developers.google.com/codelabs/gemini-java-developers">Codelab — Gemini
 for Java Developers using LangChain4j</a>In this workshop, you’ll find various
 examples covering the following use cases, in crescendo approach:<ul><li>Making
 your fist call to Gemini (streaming &amp; non-streaming)</li><li>Maintaining a conversation</li><li>Taking
 advantage of multimodality by analysing images with your prompts</li><li>Extracting
 structured information from unstructured text</li><li>Using prompt templates</li><li>Doing
 text classification with few-shot prompting</li><li>Implementing Retrieval Augmented
 Generation to chat with your documentation</li><li>How to do Function Calling to
 expand the LLM to interact with external APIs and services</li></ul>You’ll find
 all the <a href="https://github.com/glaforge/gemini-workshop-for-java-developers">code
 samples on Github</a>.If you’re attending Devoxx France, be sure to attend
 the <a href="https://www.devoxx.fr/en/schedule/talk/?id=40285">Hands-on-Lab workshop</a>
 with my colleagues <a href="https://twitter.com/meteatamel">Mete Atamel</a> and
 <a href="https://twitter.com/val_deleplace">Valentin Deleplace</a> who will guide
 you through this codelab.Originally published at <a href="https://glaforge.dev/posts/2024/03/27/gemini-codelab-for-java-developers/">https://glaforge.dev</a>
 on March 27, 2024.<img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=769fbd419756"
 width="1" height="1" alt=""><hr><a href="https://medium.com/google-cloud/gemini-codelab-for-java-developers-using-langchain4j-769fbd419756">Gemini
 codelab for Java developers using LangChain4j</a> was originally published in <a
 href="https://medium.com/google-cloud">Google Cloud - Community</a> on Medium, where
 people are continuing the conversation by highlighting and responding to this story.

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