regolo

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.

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.

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.

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.

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.

Integrate Regolo.ai into your n8n workflows to bring AI-driven reasoning, embeddings, and image generation directly into your automations. Drag, drop, and let Regolo.ai handle chat, semantic search, and creative tasks seamlessly.

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.

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.

An analysis of the emerging landscape of LLM cloud hosting in Europe — where data sovereignty, sustainability, and transparency take center stage. Featuring Regolo.ai as an example of infrastructure designed to be scalable, private, and green, fully aligned with European regulations.

Learn how to use the OpenAI Agents SDK with open models instead of proprietary ones. This tutorial walks you through connecting the SDK to Regolo.ai, building a real CurrencyBot using Llama-3.3-70B-Instruct with function calling, and deploying it in a Streamlit chat interface - all while keeping full control over your stack.