👉 Try Fast Whisper on Regolo now Here the extract of the Eugenio Petullà’s presentation from the recent Rome event, Build Your AI, highlights practical integrations for audio transcription, vision-language models, and image generation using OpenAI-compatible APIs. What is Multimodal AI? Multimodal AI processes diverse inputs like text, images, audio, and video simultaneously. This unlocks […]
Regolo Labs
From Zero to an Enterprise-Ready AI Agent with Cheshire Cat and Regolo: A Practical Guide Using Only Open‑Source LLMs
Learn how to spin up Cheshire Cat and plug it into Regolo’s OpenAI‑compatible endpoint using open‑source LLMs like Llama‑3.3‑70B‑Instruct, ready for enterprise. 👉 Try CheshireCat and Regolo with Deepseek-r1-70B for free What is CheshireCat AI? CheshireCat is an open-source, production-ready Python framework that allows you to build conversational AI agents with memory, custom tools, and […]
Build Multi-Agent Workflows with crewAI
👉 Try crewAI with Deepseek-r1-70B on Regolo for free What is crewAI? CrewAI is a standalone, lean, and fast Python framework built specifically for orchestrating autonomous AI agents. Unlike frameworks like LangChain, CrewAI does not rely on external dependencies, making it leaner, faster and simpler. Developers end up building fragile chains of sequential API calls, […]
Unlocking AI Potential: A Hands-On Event for Developers in Rome
Free event on January 15th in the vibrant city of Rome, at Frontiere’s offices, located in Via Oslavia 6. The event is designed for those seeking concrete solutions, not just theory, below the event details. This gathering is co-organized by Frontiere, a renowned hub for innovation and education, and regolo.ai, a European leader in AI […]
Self-Host With Ease: Using Nextcloud to Create a Smarter Home Setup with regolo
Understanding Nextcloud: The Foundation of Digital Sovereignty Defining Nextcloud Hub: Architecture and Components Nextcloud Hub is fundamentally defined as a self-hosted, open-source content collaboration platform. Its core mandate is to provide users and organizations with a secure environment where they retain full control over their sensitive data, including documents, calendars, contacts, and photos, by storing […]
Qwen3-Reranker-4B on Regolo: Add a “critical brain” to your RAG in minutes
With Qwen3-Reranker-4B, you can turn your retrieval-augmented generation (RAG) system into a smarter assistant: it not only finds relevant documents but also reorders them based on their usefulness for your query. The model uses a cross-encoder that evaluates queries and passages together, ensuring more accurate answers with less noise.
Thunderbird + ThunderAI + Regolo: AI email summaries & replies with an OpenAI‑compatible endpoint
Discover how to enhance Thunderbird with AI using the ThunderAI plugin and regolo.ai/. Learn to configure your API keys, select models like Llama-3.1-8B-Instruct, and leverage AI-powered email features such as summaries, automatic replies, and custom prompts – making your email workflow faster and smarter.
Secure & Scalable Meeting Transcription with Python and Regolo (Zero Data Retention)
Learn how to safely transcribe meeting recordings using Python and regolo.ai/. This guide walks you through splitting audio into manageable chunks, removing duplicate phrases, and generating accurate transcripts – all while keeping sensitive information private. Streamline your workflow and preserve every key discussion with AI-powered transcription.
AI-Driven Cybersecurity: Deploy Beelzebub + Regolo to Trap Hackers in Minutes
Discover how to defend your infrastructure using regolo.ai/ and Beelzebub. This guide shows you how to deploy AI-driven honeypots that simulate realistic services, detect attacks like prompt injections and lateral movements, and gather actionable threat intelligence – all safely and efficiently. Protect your systems while letting attackers unknowingly reveal their tactics.
Build AI Agents Visually: Langflow + Regolo for rapid, private prototyping
Learn how to connect regolo.ai/ to Langflow effortlessly. This tutorial shows you how to install Langflow, configure its OpenAI nodes to use regolo.ai/’s API, and build a simple chat flow – all without writing a single line of code. Prototype, test, and deploy AI workflows in minutes using regolo.ai/ models like gpt-oss-120b.