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Docusaurus's built-in Algolia search works fine for navigating known topics, but it falls apart when users ask anything conversational or don't know the exact terminology. Layering a RAG-based chat widget on top might be what you need to do. The main tradeoff with any AI layer is keeping answers accurate as docs change. If your crawler is not re-indexing frequently, users start getting answers that reference outdated APIs or config options, which is worse than no answer at all. Worth checking how often Crawldesk re-crawls and whether you can trigger manual re-indexes after big doc updates. |
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I’ve been exploring ways to improve the documentation experience in Docusaurus projects, especially as docs grow larger and harder to navigate.
Even with well-structured docs, users often need to go through multiple pages to find exact answers. Recently, I’ve been seeing more “Ask AI” style layers on top of docs, where users can just ask questions and get direct answers.
Some approaches I’ve come across:
I’ve been experimenting with one such approach using Crawldesk:
https://crawldesk.com/
It connects to Docusaurus docs and adds an Ask AI widget so users can ask questions and get answers directly from the documentation.
Docs:
https://www.crawldesk.com/docs/ai-widget/deployment/docusaurus
Demo:
https://www.youtube.com/watch?v=P85IDzEv4eo
Curious to hear from others:
Are you using search-only, or something more interactive?
Has anyone added an AI layer to their docs?
What worked (or didn’t)?
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