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.
Author Archives: Francesco Massa
AI based Cybersecurity with Regolo + Beelzebub🐝🛡️
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.
Connect Regolo Models on your Dify Workflows
Integrate regolo.ai/ directly into Dify to make your AI workflows smarter and more customizable. Use models like Llama-3.3, GPT-OSS-120B, or Qwen2.5-VL in drag-and-drop flows, chatbots, RAG, or multi-agent pipelines.
Chat with ALL your Documents with Regolo + Elysia
Integrate regolo.ai/ with Elysia to create a private chatbot over all your documents. Using Agentic RAG and Weaviate, you can query, summarize, and reason over your data securely, with persistent memory and flexible decision-tree logic.
Wolf of Wall Street with Regolo + OpenBB trading Agent 💸
Supercharge your trading with regolo.ai/ and OpenBB Workspace. Build a custom AI Copilot that learns from the markets, provides insights, and helps you make smarter, faster financial decisions.
Connect Your Coding Agents with Regolo and Byterover Cipher
Discover how regolo.ai/ and Byterover Cipher transform AI coding agents into long-term programming partners. With persistent memory, reasoning layers, and IDE integration, agents retain knowledge across sessions, share context within teams, and help write, debug, and optimize code more efficiently.