Quarkus langchain4j blog post #1833
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| [source, java] | ||
| ---- | ||
| @ApplicationScoped | ||
| public class IngestorExample { |
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Could this be linked to the previous example somehow?
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Well, we have a very good example above that allows to understand exactly why we have these concepts and this code here is disconnected from that so it's harder to imagine how it could be useful.
But I'm not sure if we could have a usage for this concept in the previous triaging example.
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| Popularized by https://openai.com/[OpenAI]'s https://chat.openai.com/[ChatGPT], LLMs are now available in many flavors and sizes. The https://huggingface.co/models[Hugging-Face] platform references hundreds of them, and major tech companies like Facebook, Google, Microsoft, Amazon and IBM are also providing their own models. | ||
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| LLMs are not a new concept. They have been around for a while, but they were not as powerful or as accessible the became when OpenAI made ChatGPT API's publically available. Since then the Quarkus team have been thinking about what it would mean to integrate LLMs in the Quarkus ecosystem. The talk https://www.youtube.com/watch?app=desktop&v=BD1MSLbs9KE[Java Meets AI] from Lize Raes at Devoxx 2023 has been a great source of inspiration. |
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the became when OpenAI made ChatGPT -> they became when OpenAI made ChatGPT
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Max has a PR opened, I will add to MAx's PR.
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| LLMs are not a new concept. They have been around for a while, but they were not as powerful or as accessible the became when OpenAI made ChatGPT API's publically available. Since then the Quarkus team have been thinking about what it would mean to integrate LLMs in the Quarkus ecosystem. The talk https://www.youtube.com/watch?app=desktop&v=BD1MSLbs9KE[Java Meets AI] from Lize Raes at Devoxx 2023 has been a great source of inspiration. | ||
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| Since, the Quarkus team, in collaboration with Dmytro Liubarskyi and the LangChain4j team, has been working on an extension to integrate LLMs in Quarkus applications. This extension is based on the https://github.com/langchain4j[LangChain4j library], which provides a common API to interact with LLMs. The LangChain4j project is a Java re-implementation of the famous https://www.langchain.com/[langchain] library. |
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Since -> Since then maybe? Although it was already used in the paragraph above....
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| Strictly relying on the LLM's knowledge might not be enough. Thus, the Quarkus LangChain4j extension provides two mechanisms to extend AI knowledge: | ||
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| - 1) Tools - a tool lets the LLM execute actions in your application. For instance, you can use a tool to send an email, call a REST endpoint, or execute a database query. The LLM decides when to use the tool, the method parameters, and what to do with the result. |
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It should be probably an ordered list, so maybe replace - with . and remove 1)?
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