90% of What Your AI Agent Scrapes Is Wasted Tokens
A typical web page runs 80,000 tokens once a model reads the raw HTML. Over 90% of that is CSS, JavaScript, and markup an agent will never quote. Here's how to stop paying for it.
Rag
5 articles exploring rag
BeautifulSoup Scrapes Pages. Crawl4AI Assumes No One Reads Them.
Crawl4AI hit 75,000 GitHub stars in three years, faster than Scrapy did in eighteen. The reason isn't a better scraper. It's that access and legibility are different problems.
Vector Databases in 2026: Why Most Teams Adopt One Too Early
Most teams adopt a dedicated vector database before the production signals that justify it arrive. A decision framework for when pgvector stops being enough.
Document Parsers for Agentic Workflows: LiteParse, LlamaParse, and the Tools That Actually Matter
Benchmark-driven comparison of the 2026 document parsing landscape - LiteParse, LlamaParse, Unstructured, Docling, PyMuPDF, Google Document AI - with Python code, failure modes, and an async routing architecture.
Why PostgreSQL Is Your Best Bet for AI Projects (And You Probably Already Have It)
Stop over-engineering AI infrastructure. PostgreSQL already has everything you need: pgvector for embeddings, pgai for automation, TimeScaleDB for metrics. Build faster by using what you have.