Tutorials, comparisons, and deep-dives on RAG pipelines, LLM data pipelines, and web scraping for production AI systems.
Spider.cloud is fast and cheap for raw scraping. But if you need semantic search, webhooks, or a knowledge base, here are the best Spider.cloud alternatives.
Tavily searches the web for you. KnowledgeSDK lets you build your own searchable knowledge base from any web source. Know which to use and when.
A complete tutorial for building a web-scraped RAG pipeline: from scraping competitor docs to semantic search and GPT-4o integration. Compare DIY vs knowledgeSDK approaches.
Most web scraping produces garbage for LLMs. Learn what LLM-ready markdown is, how to evaluate it, and what KnowledgeSDK strips out for clean output.
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.
Build a competitor pricing monitor with webhooks in 50 lines of code. Full tutorial: scrape baseline, subscribe to changes, receive structured diffs, trigger Slack alerts.
A plain-English explainer on web scraping APIs: how they work, what they replace, and why every AI agent needs one. Get started in 5 minutes.