Marc Mayol
Marc Mayol

About Me

AI Engineer & Researcher

Hello! I 'm Marc, a Tech Lead specialized in Generative Artificial Intelligence and a passionate enthusiast of this fascinating field. With experience in developing artificial intelligence applications, I strive to create intelligent systems that can have a positive impact on our world. In this blog, I share insights on Generative AI, Google products, and artificial intelligence development. I hope you enjoy reading!

Chonkie and Docling: two complementary approaches to document processing in RAG pipelines

Comparison between Chonkie and Docling, two key tools for document processing in RAG pipelines. Discover their differences, advantages, and how to combine them to achieve better AI results.

Chonkie: the art of intelligently chunking text

Chonkie is an open-source tool that automates the intelligent fragmentation of text for artificial intelligence and RAG systems. Using semantic, structural, and token-based strategies, it divides long documents without losing coherence or context, improving model understanding and response quality. Ideal for developers, researchers, and professionals working with natural language processing.

Hexagonal architecture and language models: flexibility and robustness in AI

Discover how hexagonal architecture (Ports & Adapters) can transform the way you build artificial intelligence systems with language models (LLMs). Learn what it is, why it’s represented by a hexagon, what its components are, and how this approach enhances the flexibility, maintainability, and evolution of generative AI-based applications

Event-Driven Architecture and LLMs: How Effective Is This Combination?

Event-driven architecture and LLMs: advantages, challenges, and key points to apply EDA in artificial intelligence with scalability and resilience.

Docling: the easy way to work with files and LLMs

Discover how Docling simplifies document processing and its integration with language models. An open-source IBM solution that combines text, images, and much more

Google reshapes the AI landscape at Cloud Next 2025

During the Google Cloud Next 2025 event, the company unveiled a series of innovations in artificial intelligence that strengthen its position as one of the leading players in the field.

Firebase Genkit

At Jsconf 2025, held in Madrid, I discovered an interesting library during one of the workshops: the Firebase Genkit framework.

Gemini Robotics: Google’s leap into intelligent robotics

Google, through its DeepMind lab, continues to drive the future of artificial intelligence and robotics with Gemini Robotics and Gemini Robotics-ER

Google Transforms Image Generation with Gemini 2.0 Flash

Google Gemini 2.0 Flash transforms image editing with native AI. Discover its features and how to try it for free.

Get in touch

Interested in collaborating or inviting me as a speaker at your event? Don’t hesitate to get in touch!

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