Learn how to build a CRAG (Corrective RAG) pipeline that falls back to live web scraping when your vector index is stale. Full Python code with LangGraph and KnowledgeSDK.
Step-by-step tutorial: extract any website into a searchable knowledge base using KnowledgeSDK — no infrastructure, no vector DB setup, just a few API calls.
Your compliance docs live on your website. Build a chatbot that reads them automatically, stays current when pages change, and answers questions with source citations.
Context engineering is the defining AI skill of 2026. Learn how to pipe live web data into agent context using KnowledgeSDK — just-in-time scraping, webhooks, and temporal metadata.
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.
Stop re-crawling your entire knowledge base every 24 hours. Use KnowledgeSDK webhooks to update only changed pages in Pinecone or Weaviate — 10x cheaper.
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.
A practical guide to markdown extraction APIs — what they do, how they differ, and how to use them to feed clean text to your LLMs, RAG pipelines, and AI agents.
Step-by-step: build a Model Context Protocol server that gives Claude, Cursor, or any MCP client access to a live web knowledge base powered by KnowledgeSDK.
Skip CSS selectors and XPath forever. Use natural language or JSON schema to extract structured data from any webpage with LLM-powered APIs.
Learn how to extract structured JSON from visual web pages using screenshots and vision LLMs. Full Node.js and Python code, plus benchmarks across 3 page types.
SERP APIs return search result lists. Content scraping APIs return full page content. Learn when to use each and how to combine them for AI agent workflows.
A practical tutorial for extracting and crawling all URLs from a website's sitemap — with rate limiting, error handling, and clean markdown output for AI applications.
Stateless agents forget everything. Stateful agents with web knowledge are unstoppable. Here's how to build agents that persist context AND stay current with the web.
Learn how to extract structured JSON data from any website using KnowledgeSDK. No CSS selectors, no broken scrapers — just a schema and an API call.
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.
A developer guide to web scraping in Node.js for AI applications — from Axios/Cheerio basics to production-ready knowledge extraction APIs with TypeScript.
A practical guide to web scraping in Python for LLM applications — from DIY with BeautifulSoup to production-ready knowledge extraction APIs.
Learn how to scrape Stripe, GitHub, and other API docs to build a living knowledge base for AI agents. Handle multi-page docs, versioning, and auth.
Learn to scrape URLs to clean markdown, build a semantic search index, and subscribe to webhooks using the KnowledgeSDK Python SDK with async support.
A complete guide to scraping any website to clean markdown in 2026. Covers static pages, React SPAs, paginated content, and Cloudflare-protected sites with code examples.
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.