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Evaluating RAG with RAGAS: From ‘Gut Feeling’ to Faithfulness, Answer Relevance, and Context Precision Metrics

By admin April 20, 2026

Stop evaluating AI chatbots based on gut feeling. Use RAGAS to accurately measure Faithfulness, Answer Relevance, and Context Precision.

What is an MCP Server? How to Connect Claude to a Database in Seconds

By admin April 20, 2026

A detailed guide on building an MCP Server to connect Claude AI with databases (SQLite, PostgreSQL). Enable AI to query data directly, safely, and professionally.

LLM Security: Using Microsoft Presidio to Sanitize Sensitive Data (PII) Before API Calls

By admin April 20, 2026

Stop sending sensitive data directly to OpenAI. A detailed guide on using Microsoft Presidio to automatically anonymize PII, helping AI apps comply with GDPR and local data laws.

Creating Custom Skills for Claude Code: Don’t Let AI Be a “Stranger” in Your Project

By admin April 20, 2026

Teach Claude Code to understand your project using Custom Skills. A detailed guide on automating debugging, security scanning, and optimizing real-world workflows for developers.

Ultra-fast LLM Fine-tuning with Unsloth: 90% VRAM Reduction, Run Llama 3 on Budget GPUs

By admin April 19, 2026

Fine-tune Llama 3 8B with just 6.5GB VRAM? A detailed guide on using Unsloth to triple LLM training speed and maximize hardware cost savings for developers.

Automating ‘Log Peeking’: Lightning-Fast Error Analysis and Summarization with DeepSeek and Python

By admin April 18, 2026

Learn how to build a Python script to automatically analyze error logs using the DeepSeek API. A practical solution to help DevOps summarize incidents and find root causes in seconds.

Building GraphRAG with LangChain and Neo4j: When AI Needs to Deeply Understand Data Relationships

By admin April 17, 2026

A guide to building a GraphRAG system by combining Neo4j and LangChain. This solution helps AI understand complex data relationships, reducing hallucinations and increasing accuracy compared to traditional RAG.

Debugging and Monitoring LLM Apps with LangSmith: From “Needle in a Haystack” to Production Visibility

By admin April 14, 2026

Learn how to use LangSmith to debug LLM applications, monitor latency, and optimize token costs. This article shares practical experience for managing AI apps in production.

IT Automation: Don’t Just ‘Chat’ with AI, Turn It Into a Real Agent

By admin April 11, 2026

No more manual log monitoring! Discover how to combine Python scripts with AI APIs to automatically detect, analyze, and suggest server fixes in seconds.

Llama.cpp: The ‘Secret’ to Running LLMs Smoothly on CPUs, Even With Low RAM

By admin April 8, 2026

No more 'Out of VRAM' errors! A detailed guide on using llama.cpp Quantization to run AI models like Llama 3 smoothly on CPU and RAM, perfect for low-spec PCs.