Embeddings, vector databases, and chunking are the foundation of every RAG system. Compare 6 vector DBs and 7 chunking strategies for your stack.
Stratos Louvaris
Agentic AI Systems Engineer
Production, not demos
Security from day one
Documents what breaks
Stratos Louvaris
Agentic AI Systems Engineer
Production, not demos
Security from day one
Documents what breaks
Blog
January 9, 2026
What Is RAG and Why Your LLM Needs It (Part 1 of 3)
Learn what Retrieval-Augmented Generation is, why LLMs fail without it, and how the complete RAG pipeline works from ingestion to answer generation.
October 25, 2025
How to Use Google’s NotebookLM as Your Personal Learning Assistant
NotebookLM tutorial: Learn how source-grounded AI solves documentation hallucination. This AI tool only uses your uploaded documents and provides citations.
October 16, 2025
AI for Sysadmins and Developers (Part 2): A Guide to Self-Hosting LLMs with Ollama
Choosing the right AI model can be challenging. In this comparison, we break down open-source and proprietary models by cost, control, privacy, and performance, helping you make an informed and strategic decision for your specific needs.