Orchestrating Predictable AI Agents with Parlant and Regolo
Purpose vs. Predictability Have you ever tried to give an LLM a specific purpose, only to receive unpredictable, poorly structured, or "hallucinated" outputs? Prompt…
Step‑by‑step guides that show developers exactly how to build, integrate, and ship AI features with Regolo, using real code samples and ready‑to‑run projects.
Purpose vs. Predictability Have you ever tried to give an LLM a specific purpose, only to receive unpredictable, poorly structured, or "hallucinated" outputs? Prompt…
👉 Build Production RAG on Regolo Time commitment: 20 minutes for setup, 5 minutes per launch after deployment Naive RAG setups chunk blindly, embed…
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…
👉 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…
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…
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.
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.
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.
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.
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.