Tutorials, comparisons, and deep-dives on RAG pipelines, LLM data pipelines, and web scraping for production AI systems.
Google ADK's built-in search only covers the public index. Add KnowledgeSDK as a custom FunctionTool to scrape any URL — competitor pages, docs, paywalled content.
Build a GraphRAG pipeline with KnowledgeSDK: scrape any website to clean markdown, extract entities with Claude or GPT-4o, and load into Neo4j or LightRAG.
Build a production Haystack RAG pipeline with live web scraping. Custom KnowledgeSDKFetcher component, pipeline YAML, and end-to-end Q&A from URL to answer.
Should your AI agent run a headless browser or call a scraping API? This guide breaks down the trade-offs, costs, and when each architecture makes sense in 2026.
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.
How to build an AI-powered job market intelligence platform — extracting job postings, analyzing hiring trends, identifying skill demands, and tracking company growth signals.
Stop re-crawling your entire knowledge base every 24 hours. Use KnowledgeSDK webhooks to update only changed pages in Pinecone or Weaviate — 10x cheaper.
A vector database stores embeddings. A knowledge API handles extraction, chunking, embedding, indexing, and search — the whole pipeline. Here's when each makes sense.
Stale RAG is worse than no RAG — it confidently returns outdated answers. Here are five strategies to keep your knowledge base current automatically.
End-to-end tutorial: scrape any website with KnowledgeSDK, extract entities and relationships with an LLM, and load the result into Neo4j for multi-hop graph queries.
Extract entities and relationships from any website, build a Neo4j knowledge graph, and query it for multi-hop reasoning in your RAG pipeline.