Splitting code files at arbitrary token boundaries breaks functions in half and destroys semantic meaning. AST-aware chunking respects code structure — and dramatically improves retrieval.
MTEB scores, licensing, latency, and cost for every major embedding model — with a decision framework for RAG, semantic search, and knowledge base use cases.
Reduce web scraping costs by 12x with incremental crawling. Use webhooks to detect changes and only re-scrape updated pages instead of re-crawling entire sites daily.
JavaScript-heavy SPAs are notoriously hard to scrape. This guide explains why, and shows how modern scraping APIs handle JS rendering without you spinning up a headless browser.
Stale RAG is worse than no RAG — it confidently returns outdated answers. Here are five strategies to keep your knowledge base current automatically.
Matryoshka embeddings let you truncate vector dimensions at inference time — cutting storage and compute costs by up to 8x without sacrificing retrieval quality.
Benchmark of screenshots vs markdown extraction for LLMs: accuracy, cost, latency, and failure modes across common web page types with full code examples.
Comprehensive benchmark of Qwen3, BGE-M3, Nomic Embed, and other top open-source embedding models for RAG pipelines — with MTEB scores and practical guidance.
You can't improve what you don't measure. A practical guide to evaluating retrieval quality, answer faithfulness, and knowledge freshness in your RAG system.
Your RAG pipeline is only as good as its most recent data. Learn how to build temporal awareness into your retrieval system so agents always know what's current.
How to design a web crawling architecture that scales, respects robots.txt, handles failures gracefully, and produces AI-ready output — without building your own crawler.
A technical breakdown of Cloudflare, PerimeterX, DataDome, CAPTCHA, and JS fingerprinting—and how production scraping APIs handle each category for legitimate data collection.
Why JS-rendered scraping is hard in 2026, how headless browsers work under the hood, and when to use a managed API vs rolling your own Playwright setup.
Bad markdown ruins RAG quality. Learn how to identify common extraction failures, measure markdown quality, and ensure clean output for LLMs.
BM25 vs embeddings for RAG: when semantic search wins, when keyword search wins, and why hybrid search is almost always the right answer.
Learn why rate limiting is critical for production web scraping, with strategies for request queues, exponential backoff, and distributed rate limiting.
Compare webhooks and polling for website change detection. Learn when to use each, production patterns for idempotency, retries, and signature verification.