I was chatting earlier with Alenka, who mentioned this LinkedIn post[1] by Ritchie Vink from Polars, which talks about the Polars project's use of an AI service which ingests their docs and answers user questions based on the results.
It's provided by an organisation called kapa.ai which offers this service often free to open source projects [2], and I was wondering if it's something we might consider trying? It'd give us useful insights into where we have gaps in our docs where we can improve things, or what are common things that users struggle with. It claims to have better results than basic LLM search due to using and citing the docs directly, and acknowledging when it doesn't know the answer - though we'd need to test it out to There's an example of the widget on the Django CMS docs [3] under the "Ask AI" link which provides a popup where the AI bot appears and users can ask questions. I had suspected there might be conflict with the website policy [4] but it appears that the ASF already allows its usage [5][6]. What do folks think of the idea of us experimenting with this for Arrow? Nic [1] https://www.linkedin.com/posts/ritchievink_python-api-reference-polars-documentation-activity-7296175345987170305-ZEUI/ [2] https://docs.kapa.ai/kapa-for-open-source [3] https://www.django-cms.org/en/support/ [4] https://privacy.apache.org/policies/website-policy.html [5] https://privacy.apache.org/policies/privacy-policy-public.html [6] https://privacy.apache.org/faq/committers.html
