Stéphane Philippart

Once a developer, always a developer! Java developer for many years, I have the joy of knowing JDK 1.1, JEE, Struts, ... and now Spring, Quarkus, (core, boot, batch), Angular, Groovy, Golang, ... For more than ten years I was a Software Architect, a job that allowed me to face many problems inherent to the complex information systems in large groups. I also had other lives, notably in automation and delivery with the implementation of CI/CD chains based on Jenkins pipelines. I particularly like sharing and relationships with developers and I became a Developer Relation at OVHcloud. This new adventure allows me to continue to use technologies that I like such as Kubernetes or AI for example but also to continue to learn and discover a lot of new things. All the while keeping in mind one of my main motivations as a Developer Relation: making developers happy. Always sharing, I am the co-creator of the TADx Meetup in Tours, allowing discovery and sharing around different tech topics.

An IA help coders to develop

Create a code assistant with Continue and AI Endpoints

If you want to have more information on AI Endpoints, please read the following blog post.You can, also, have a look at our previous blog posts on how use AI Endpoints.Also, be sure to check out this blog post about deploying Coder on the OVHcloud Managed Kubernetes Service. In the field of the code assistant […]

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A parrot on a coffee cup with a robot

Memory chatbot using AI Endpoints and LangChain4j

Have a look at our previous blog posts: – Enhance your applications with AI Endpoints – How to use AI Endpoints and LangChain4j – LLMs streaming with AI Endpoints and LangChain4j – How to use AI Endpoints and LangChain to create a chatbot – How to use AI Endpoints, LangChain and Javascript to create a

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A parrot and a robot looking in documents

RAG chatbot using AI Endpoints and LangChain

Have a look at our previous blog posts: – Enhance your applications with AI Endpoints – How to use AI Endpoints and LangChain4j – LLMs streaming with AI Endpoints and LangChain4j – How to use AI Endpoints and LangChain to create a chatbot – How to use AI Endpoints, LangChain and Javascript to create a

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A robot with a parrot

How to use AI Endpoints, LangChain and Javascript to create a chatbot

Continuation of the series of blog posts on how to use AI Endpoints with LangChain. Have a look at our previous blog posts: – Enhance your applications with AI Endpoints – How to use AI Endpoints and LangChain4j – LLMs streaming with AI Endpoints and LangChain4j – How to use AI Endpoints and LangChain to

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Image representing a robot with a parrot and a snake

How to use AI Endpoints and LangChain to create a chatbot

Have a look at our previous blog posts: – Enhance your applications with AI Endpoints – How to use AI Endpoints and LangChain4j – LLMs streaming with AI Endpoints and LangChain4j In the world of generative AI with LLMs, LangChain is one of the most famous Framework used to simplify the LLM use with API

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A parrot and as river

LLMs streaming with AI Endpoints and LangChain4j

Have a look at our previous blog posts: – Enhance your applications with AI Endpoints – How to use AI Endpoints and LangChain4j After explaining how to use AI Endpoints and LangChain4j in the previous post, let’s take a look at how to use streaming to create a real chat bot ! Create the project

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LangChain4j perroquet representation

How to use AI Endpoints and LangChain4j

Have a look at our previous blog post Enhance your applications with AI Endpoints In the world of generative AI with LLMs, LangChain is one of the most famous Framework used to simplify the LLM use with API call. LangChain’s tools and APIs simplify the process of building LLM-driven applications like chatbots and virtual agents.

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Enhance your applications with AI Endpoints

Recently, OVHcloud launch AI Endpoints in its alpha phase. What’s AI Endpoints? AI Endpoints is a serverless solution providing AI APIs. The platform is designed to be simple and intuitive, enabling developers, even without AI expertise, to easily use pre-trained and optimized AI models. From today you can use LLM as a Service! You choose

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