How, systematically speaking? I would need a properly structured embeddings DB over HN (and possibly a few other sources). I am not aware of any satisfactory (reliable) RAG available. I have found this:
which seems to be off at the moment. So, when John says "Jake I experienced as so itchy", I may expect some sauce from the speaker, not the tiniest crystal of the juice, if my takeaway is not just to be "John had a suboptimal experience with Jake". (And itchingly, "What's "itchy"?" ("what "random errors"?", "what "silly quirks"?")).
Ok, this is interesting:
https://github.com/MoonshotAI/K2-Vendor-Verifier/
> Did you do any research yourself?
How, systematically speaking? I would need a properly structured embeddings DB over HN (and possibly a few other sources). I am not aware of any satisfactory (reliable) RAG available. I have found this:
https://hackersearch.net
which seems to be off at the moment. So, when John says "Jake I experienced as so itchy", I may expect some sauce from the speaker, not the tiniest crystal of the juice, if my takeaway is not just to be "John had a suboptimal experience with Jake". (And itchingly, "What's "itchy"?" ("what "random errors"?", "what "silly quirks"?")).