Blog
How to build a basic RAG
RAG answers queries from your documents by chunking, embedding, storing in a vector DB, retrieving matches, and feeding them to an LLM for context-aware responses.
Why you need to integrate a chatbot AI with your documentation
Most users don’t read your help docs—they search, skim, or ask someone. CrawlChat turns your existing documentation into a smart chatbot that gives instant answers, finds gaps, and reduces support tickets.
Basic RAG vs. Agentic RAG
Basic RAG answers in one shot; Agentic RAG breaks down queries and reasons step-by-step for better accuracy.
How Polotno uses CrawlChat to power AI Support and improve developer experience
Polotno uses CrawlChat to power an AI assistant that helps developers instantly find answers from documentation, boosting productivity and support.
Boosting Developer Experience with CrawlChat
How CrawlChat makes docs easier to access and improves developer experience.
How to add Ask AI Chatbot to Docusaurus site
Add an AI-powered “Ask” button to your Docusaurus docs for instant, smart user support.
How to add AI Chatbot for your docs
Learn how to add chatbot for your docs on your website and other channels
How Discord Bot helps?
Understand what and how the CrawlChat Discord Bot helps your Discord community
Comparison of Algolia and CrawlChat
Understand how Algolia and CrawlChat differs and pick one that suites your requirement
How to Set Up an MCP Server for Your Documentation
Configure an MCP server for your documentation so AI tools can access it.
How Remotion uses CrawlChat to integrate AI in their documentation
Remotion uses CrawlChat to let the community have better access to it using AI. Understand how it is done