AI Archives - ITNotes

Deploying Milvus on Docker: A Production Guide for Enterprise AI and RAG Applications

August 19, 2026

A hands-on guide to deploying Milvus vector database on Docker, based on six months of production experience running a 50-million-vector RAG pipeline. Covers Standalone setup, configuration tuning for performance, index selection, and monitoring with Attu and Prometheus.

Stop Scrubbing: Building a Video RAG System with Keyframe Extraction and Vector Search

August 14, 2026

Manual video scrubbing is a relic of the past. Learn how to build a Video RAG system using Python, CLIP, and Qdrant to index and search visual content with precision.

AI-Powered Visual Testing: Catching UI Regressions with Playwright and Claude 3.5 Sonnet

August 14, 2026

Learn how to combine Playwright's browser automation with Claude 3.5 Sonnet's vision capabilities to detect UI bugs automatically. This guide covers setup, CI/CD integration, and cost-saving tips.

DevOps

Stop Hunting for YAML Needles: A Hands-on Guide to K8sgpt

August 11, 2026

Ditch the manual log-diving. Learn how to use K8sgpt and AI to diagnose Kubernetes cluster errors and get actionable fix suggestions in seconds.

Running AI in the Browser: A Guide to Transformers.js and WebGPU

July 30, 2026

Discover how to migrate AI workloads to the browser. This guide shows you how to use Transformers.js and WebGPU to slash server costs and improve user privacy with real-world code examples.

Stop Fighting Regex: Build an Intelligent ETL with LLMs and Pydantic

July 28, 2026

Ditch fragile Regex. Learn how to build a modern ETL pipeline that converts messy, unstructured text into clean, validated SQL data using Python, GPT-4o, and Pydantic.

Build an AI Data Analyst with PandasAI and Python: Query CSV/Excel Data Using Natural Language

July 21, 2026

PandasAI wraps an LLM around any pandas DataFrame, letting you query CSV and Excel files in plain English and generate charts without writing a single line of pandas. This guide walks through the full setup — from installation to production-ready configuration — with practical code examples.