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Securing AI Service API Keys (OpenAI, Claude, Gemini): A 2 AM Production Lesson

By admin March 20, 2026

AI service API keys are critical assets requiring strict protection. This guide provides detailed instructions on securing API keys for OpenAI, Claude, and Gemini based on real-world experience, preventing leaks that cause financial damage and service disruption. It covers solutions from environment variables to cloud secret management and service-to-service authentication.

Automating AI Workflows with n8n: A Practical Guide from A-Z

By admin March 19, 2026

Want to automate IT tasks and leverage the power of AI? This practical guide shows you how to use n8n to build AI workflows, integrating ChatGPT, Gemini, and other tools effectively, in just a few simple steps.

Securing AI API Integrations in Production: Real-world experience and helpful tips

By admin March 17, 2026

Learn crucial security strategies for AI API integration in production. Practical advice on API key management, prompt injection prevention, and secure application monitoring to protect your systems.

Guide to Deploying LLM Inference with vLLM on Linux: Boosting Throughput and Saving VRAM

By admin March 16, 2026

This article shares practical experience deploying LLM inference with vLLM on Linux, aiming to boost throughput and save VRAM. It provides detailed guidance from installation, configuring important parameters, to testing and monitoring performance, helping you optimize your system.

How to Use Google Gemini API with Python: Efficient Implementation from Basics to Production

By admin March 14, 2026

Discover how to integrate the Google Gemini API with Python, from basic to advanced. This article provides detailed guides, practical code examples, and effective production deployment insights.

Building a RAG System with RAGFlow: From Setup to Efficient Production Deployment

By admin March 10, 2026

Retrieval-Augmented Generation (RAG) systems help LLMs provide more accurate answers by retrieving information from external data sources. RAGFlow is a platform for building, managing, and efficiently deploying RAG. This article guides you through RAGFlow installation, creating RAG applications, configuring data and LLMs, deploying APIs, and optimizing for production.

Qdrant Installation and Usage Guide: A Powerful Vector Database for AI and RAG Applications

By admin March 10, 2026

This article provides a detailed guide on how to install and use Qdrant, a powerful vector database, to build effective AI and RAG applications. I share practical experience after more than 6 months of deploying Qdrant in a production environment, analyzing its pros and cons, and providing sample Python code to help you get started immediately.

Whisper OpenAI: A Practical Guide to Speech-to-Text with Python

By admin March 8, 2026

After six months running Whisper in production, I compare three approaches — Whisper local, Whisper API, and faster-whisper — breaking down the pros and cons, walking through practical Python code, and covering how to handle common issues.

Building a RAG Application with LangChain and Python: From Failure to Production

By admin February 28, 2026

Six months of hands-on experience building a RAG (Retrieval-Augmented Generation) system with LangChain and Python for an internal document lookup chatbot. From hallucination issues and context window limitations to a solution that actually works in production, with complete code examples.

Installing Open WebUI: A Unified Web Interface for Managing Multiple AI Models

By admin February 28, 2026

A step-by-step guide to installing Open WebUI with Docker to manage multiple AI models — Ollama, GPT-4, Claude, and Gemini — from a single interface. Up and running in 5 minutes, with a full production deployment guide using Docker Compose and Nginx.