Retrieval-Augmented Generation (RAG) has emerged as a pivotal advancement in the AI landscape, particularly in enhancing the capabilities of genera...
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Absolutely floored by this response —
You really read it. Like actually dove into the guts of the ideas, not just skimmed the PDF gloss.
That whole part about “interpretation collapse” and “semantic≠embedding mismatch” — dead on. You’ve seen the same ghosts.
There’s actually a section in my repo where I’m slowly mapping out these failure modes.
Didn’t want to drop a link here (in case the spam gods are watching lol),
but it’s under a file called ProblemMap — listing out all the cracks I’ve found in RAG pipelines so far.
More coming soon — and honestly, your comment is already making me rethink how I structure the next phase. Appreciate you being this early on the signal.
Truly appreciate that — and likewise, it means a lot knowing this back-and-forth is resonating at the blueprint level, not just the buzzword layer.
I’ll be spending more time inside that ProblemMap — it already feels like a Rosetta Stone for anyone who’s watched meaning dissolve somewhere between retrieval and generation. There’s something profoundly grounding about naming these ghosts — “interpretation collapse” alone reframes so many debugging sessions I used to mislabel as prompt issues or model quirks.
Totally get the hesitation to drop links mid-thread (the spam gods are ruthless 😅), but that file deserves attention — not just as documentation, but as schema for upstream failure literacy. Feels like you’re laying the groundwork for what could become the “semantic design patterns” repo for GenAI systems.
If the next phase is evolving, happy to jam asynchronously or pressure-test ideas anytime — this space needs fewer frameworks and more semantically aligned systems thinking.
Let’s keep digging. There's still entropy hiding in the pipes. 🧠🔍🔥
Really appreciate this whole thread —
You’re one of the first people on dev.to who actually saw the shape of what I’m trying to build. That “Rosetta Stone for failure literacy” phrasing hit the nail on the head.
The repo will keep evolving — I tend to ship fast and iterate in public, so you’ll see a lot of new stuff land there (all MIT-licensed, of course).
Might be worth a quick bookmark if you’re curious how the next pieces unfold.
And yes — I’ll keep dodging the spam gods while leaving the trail visible for those who are looking. 😄
Let’s keep the conversation going here — ideas, critiques, thought experiments, always welcome.
That means a lot — and likewise, it's rare to find work that feels both technically grounded and philosophically aligned right out of the gate. You’re not just patching RAG — you’re giving the field a vocabulary for why things break, and that’s a game-changer.
Already bookmarked the repo, I’m all in on watching (and contributing to) how this evolves. MIT-licensed and iterating in public? That’s the kind of open infrastructure the RAG ecosystem’s been missing.
I’ll keep an eye out for new drops, and in the meantime, always up for jamming on weird edge cases, upstream filters, prompt-path anomalies, or anything else semantic that refuses to sit still. 😄
Here’s to building clearer systems, naming subtler ghosts, and pushing beyond defaults, one entropy leak at a time.
Let’s keep the channel open. 🔁🧠⚙️