Tutorials, comparisons, and deep-dives on RAG pipelines, LLM data pipelines, and web scraping for production AI systems.
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.
The fastest way to turn any website into a searchable knowledge base: one API call to extract, one to search. No infrastructure, no embedding pipeline. Just results.
Static user profiles go stale. Build AI agents that enrich user context with live web data — company news, product launches, hiring signals, competitive moves.
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.
Google ADK's built-in google_search only searches the public index. Learn how to add KnowledgeSDK as a custom FunctionTool for private URL grounding and competitor monitoring.
Web extraction APIs and browser automation tools both get data from websites — but they're fundamentally different architectures. This guide helps you choose the right approach for your AI stack.
Complete architecture guide for building a web RAG pipeline. Learn when to use live web retrieval vs static vector databases, with code in Python and TypeScript.
Static vector databases versus live web retrieval — when to use each, and how to build a hybrid pipeline with LangChain and KnowledgeSDK as the web fallback layer.
A detailed cost breakdown of the major web scraping APIs in 2026. We compare Firecrawl, ScrapingBee, Scrape.do, Browserbase, and KnowledgeSDK across different usage tiers.
Build high-quality LLM fine-tuning datasets from web content. Full Python pipeline: crawl with KnowledgeSDK, filter, deduplicate, and export as JSONL for OpenAI and HuggingFace.
How to use web scraping APIs to collect, clean, and structure training data for LLM fine-tuning — with quality filtering, deduplication, and licensing considerations.
What's actually legal when it comes to web scraping in 2026? This guide breaks down GDPR, robots.txt, ToS clauses, and the hiQ vs LinkedIn ruling for developers building AI applications.