Here's a post-mortem and the true history of this tooling approach and being a first mover, or not...<p>Pre 2021: Useful semantic search widely deployed, used for recommendations for sales. OpenAI has an answers endpoint specifically for this technical use case, full docs, and many companies implement this internally.<p>Mid 2022: People like me experiment with GPT answering using semantic context on dynamically uploaded content, e.g. <a href="https://www.youtube.com/watch?v=7V3VkNj2bag">https://www.youtube.com/watch?v=7V3VkNj2bag</a> - but cannot get approved for this use case by OpenAI.<p>Nov 2022: GPT had banned open ended responses and chat like interfaces until now. Explain paper is the first tool that allows you to chat with your PDFs with multiple questions, and to use it on many types of PDFs, released in November IIRC and viral on twitter: <a href="https://twitter.com/rauchg/status/1596220185727275008" rel="nofollow">https://twitter.com/rauchg/status/1596220185727275008</a><p>December-January 2023: 15+ Chat with PDF tools are launched, including pre-hyped launches on ProductHunt from pivoting products
January+ onwards: Almost daily launches, sometimes with USPs. I launched AnyQuestions.ai which was at the time the only question tool able to work with videos [1]. Chatbase catches virality on twitter and makes some other sound decisions [2].<p>Feburary 2023 onwards: No platforms since February have succeeded.<p>[1] But it took a long time to process with Whisper and the interface was more answer focused than chat-and-response focused; I also made bets on including a larger context and using non-typical embeddings (looking for entailment/contradictions of the sentence as well as semantic similarity) which turned out to not be the right commercial choice.<p>[2] Allowing embedding on websites, and sharing the Chatbase branding that way was powerful, as well as being able to easily work for new websites as a quick solution. It spread easily through competitor FOMO and was a fast product.