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Most used Java Framework
What are the most used java frameworks in 2024?

Java is one of the most popular and versatile programming languages. Developed in the 90s, it has undergone continuous evolution which has allowed it to constantly keep up with the times and to always be among the most appreciated solutions by developers. In addition to its renowned portability and robustness, what makes the difference is […]
RAG Architecture
RAG Architecture – What is the Retrieval Augmented Generation?

In the field of generative artificial intelligence, RAG (Retrieval-Augmented Generation) architectures represent one of the most interesting innovations of recent years. These architectures combine information retrieval and text generation techniques, creating models that can answer queries with unprecedented precision and accuracy. We have already seen how embeddings work and how they are used in the […]
LM Studio - home
How to use LM Studio to chat with AI on your computer

LM Studio is a cross-platform desktop app designed to make it easy to explore and use large language models (LLMs) directly on your computer. This powerful open source application offers users an intuitive user interface to experiment with and configure LLM models, providing a smooth and powerful user experience. Key Features of LM Studio LM […]
Spring AI with vector database
Spring AI – Integration with vector databases

Through integration with advanced AI algorithms, vector databases are no longer simple repositories of multidimensional information, but become dynamic platforms for analysis, prediction and making intelligent data-driven decisions. In this article we will see how the Spring AI framework offers a simple and intuitive solution for integrating with vector databases. Prerequisites For our tutorial we […]
LangChain Tutorial
Introduction to LangChain with Ollama and llama3

LangChain is an open-source Python framework designed to facilitate the development of applications based on large language models (LLMs). This framework offers a set of tools, components, and interfaces that make it easier to build AI-powered applications. In this tutorial we will see how to create an elementary application integrated with the llama3 model. What is […]
Lama using computer
Ollama – Guide to running LLM models locally

Ollama is an open source tool that allows you to run large language models (LLMs) directly on your local computer without having to depend on paid cloud services. In this guide we will see how to install it and how to use it. It is a lightweight framework that provides a simple API for running and managing language […]
Ollama REST API – Integrate LLMs into AI apps We have talked about Ollama several times on our site, explaining how it is possible to use it to install LLMs locally and how to integrate them into your applications using different frameworks such as Spring AI and LangChain. Now we will explore a new versatile alternative that allows Ollama to be integrated with any […]
Spring AI – Query databases with OpenAI In our Spring AI framework guide we have already discussed how to implement both function and tool calls. Now it’s time to see how to use what we’ve learned to ensure that the LLM model can independently generate and execute database query. As you will surely have guessed by reading previous articles, the possibility of […]
Spring AI – Integration with Ollama After seeing how to integrate Spring AI with OpenAI, the time has come to try Ollama, the LLM engine that allows you to install AI models locally. If you haven’t already done so, we suggest you follow our tutorial on how to install Ollama. In this article we will create a conversational chatbot starting from […]
Qdrant – The vector database guide In some of our previous articles we have already discussed what embeddings are, how they are used in machine learning applications and we have also seen how to generate them. Now it’s time to see how to save and use them. In this post we will explore the features of Qdrant, one of the most […]