Hey! I'm working on building this vision at fragen.co.uk - which can take in Youtube videos (trascribed by whisper + postprocessed into useful chunks), PDFs (pr

Hey! I'm working on building this vision at fragen.co.uk - which can take in Youtube videos (trascribed by whisper + postprocessed into useful chunks), PDFs (properly OCR'd - understands bullet points etc) and webpages (also OCR'd, experimental) - For the problem of data-supported AI search, the content really matters. Our edge is semantically chunking it, in other words we are splitting it up into key facts ready for recall. That makes this problem more solveable. ... and our tool "sees" the above text as ... For the problem of data-supported AI search, the content really matters. fragen.co.uk's edge is semantically chunking the content, in other words we are splitting the content up into key facts ready for recall. Splitting the content up into key facts ready for recall makes data-supported AI search solveable. (hope it's visible how an LLM like GPT able to use/quote the above can perform seriously better at those bothersome it/what/where questions and follow ups)