GenAI

Langchain 1.0 On October 22, 2025, LangChain finally reached version 1.0. After three years, this milestone represents something significantly different both from previous versions of the framework and from other competitors, which have become quite numerous in the meantime, creating some confusion and bewilderment for those who find themselves defining the software architecture for a new project. To understand how volatile this market is, it’s worth noting that the framework developed by Microsoft called “AutoGen”, with 51k+ GitHub stars, recently entered maintenance mode, as Microsoft decided to focus its efforts on the Microsoft Agent Framework, which is obviously much more integrated with Microsoft’s GenAI services....

1. Introduction The quantity of frameworks emerging for GenAI application development is incredible and, in my opinion, is becoming excessive. Every time a new framework appears, it seems to do more or less the same things as the previous one. Perhaps some have better modularization capabilities or more robust design against long-term obsolescence, but they all seem pretty much the same to me and, although I enjoy experimenting, the study of new miraculous and promising GenAI frameworks is becoming less and less appealing....

Introduction During these scorching August days, I took the opportunity to thoroughly read Google’s A2A protocol specification and try to understand how to use its concepts to design an enterprise Agent architecture, possibly free from technological or platform constraints. What is A2A? The Agent2Agent (A2A) Protocol is an open standard designed and publicly shared by Google to facilitate communication and collaboration among AI agents. The standardization of AI interoperability model is a topic that has been discussed since the very first moments when we started talking about Agents, and there are several reasons for this:...

Abstract As AI developers, we’re always looking for ways to make data more accessible and queryable through natural language. While Retrieval-Augmented Generation (RAG) has revolutionized how we interact with unstructired textual documents, it falls short when dealing with structured data. The RAG approach is so powerful that users or even early stage AI developers may fall in the illusion that it can be applied to any kind of data, including structured data like Excel files....

Policy Puppetry Prompt Injection A few days ago, I experimented with some Jailbreaking techniques, which I share in the repo. I started from a HiddenLayer article published a few weeks ago, where the research team described a rather creative and ingenious jailbreaking technique to bypass safety guardrails and the alignment of frontier models. The technique appears to be universal and applicable with a single prompt to multiple models, capable of revealing typically unsafe content or even portions of the native system prompt....