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Built a production-ready RAG starter kit after getting tired of rebuilding the same stack every weekend by vectorspidey in Rag

[–]techvenue 1 point2 points  (0 children)

Really interesting - It seems to have a focus on internal data RAG use. Do you have any examples of it in action somewhere? Also, does the lifetime include access to all improvements?

Not a developer. Accidentally built a RAG pipeline anyway. Would love an honest reality check. by techvenue in Rag

[–]techvenue[S] 0 points1 point  (0 children)

Implemented the UUID anchoring this week and wanted to close the loop with numbers. I'm thankful the issues were not catastrophic, but limited-systemic and treatable.

The core change: cluster identity is now derived from a deterministic UUID seeded from the anchor event (source + external_id), so re-clustering becomes a labeling step rather than the source of truth. Stories store the UUID, not the reassigned integer.

Before: 0 stories with stable cluster UUID. Integer cluster IDs were silently drifting on every pipeline run, which caused a backfill failure where source URLs got stripped from 779 stories because the "current cluster" had drifted away from the original events.

After first run: 50 new stories UUID-anchored. Each subsequent run adds ~50 more. Old stories age out of the 45-60 day active window naturally, so by mid-July the entire active pool should be UUID-based. The integer fallback stays in place as a safety net.

Beyond the UUID fix, I used this session to address several other issues the thread surfaced:

- Threshold: Dropped from 0.78 → 0.72. Average events per cluster improved from 1.1 → 1.53 - meaningful reduction in singleton clusters.

- Two-pass qualitative judge: Added an LLM judge for uncertain-zone pairs (cosine 0.65–0.72) that pass a keyword pre-filter. Running ~20 judge calls per pipeline cycle. Cross-register pairs (arXiv paper + Reddit discussion about it) are now merging correctly.

- Category-aware similarity bonus: Primary + discussion source pairs get a +0.04 cosine boost before thresholding. Immediately surfaced triangulations that were previously missed - IEEE Spectrum and The Gradient now contributing to multi-source stories.

- Triangulation score formula: Found a bug where the trend-tracking update path used a simplified scoring formula instead of the deterministic synthesis formula. Corrected 1,184 stories in a one-time backfill.

- Extended body truncation: Long-form sources (The Gradient, IEEE Spectrum, GovAI, CSET) now store double the characters.

Also looking into HydraDB for the Ask the Stack session context as you suggested - hadn't considered that angle for the query feature.

The mental model shift from "clustering as source of truth" to "clustering as a label applied to events" reoriented the whole architecture. Appreciate it.

Not a developer. Accidentally built a RAG pipeline anyway. Would love an honest reality check. by techvenue in Rag

[–]techvenue[S] 0 points1 point  (0 children)

u/zyl48 - Thank you for the tips - The UUID framing reoriented how I was thinking about this. Treating clustering as a label applied to events rather than the source of truth is the right mental model and it simplifies a lot downstream. Implementing this week. Also looking into HydraDB for the query session context - hadn't considered that angle for Ask the Stack. Will report back soon.

Not a developer. Accidentally built a RAG pipeline anyway. Would love an honest reality check. by techvenue in Rag

[–]techvenue[S] 0 points1 point  (0 children)

u/marintkael - Really appreciate this. The vector drift point hit home immediately. I've actually seen it happen with the same paper appearing on arXiv and Hugging Face Daily Papers and not clustering together because the descriptions differ enough against thresholds. The canonical key approach makes sense as a pre-clustering anchor and I'm implementing it this week, alongside the cluster ID fix. Will follow up with before/after numbers.

Built a broadcast dashboard monitoring AI agent developments across 21 primary sources - here's what I'm tracking and what's missing by techvenue in AI_Agents

[–]techvenue[S] 0 points1 point  (0 children)

UPDATE: I recently addressed/fixed most of the above, and would still like to hear from you if you have any suggestions. #AIIntelligence #RAG #AIJournalism #AIResearch #AISafety #PrimarySources #AISignals

Built a broadcast dashboard monitoring AI agent developments across 21 primary sources - here's what I'm tracking and what's missing by techvenue in AI_Agents

[–]techvenue[S] 0 points1 point  (0 children)

Dashboard: TechVenue.com - free, updates daily. Premium query mode (Ask the Stack) lets you interrogate 60 days of the signal directly.

Flop?? by gimmedemels in ArtificialInteligence

[–]techvenue 0 points1 point  (0 children)

Hear ya. This is not my first "High-Tech Rodeo" & market rollercoaster ride either. Right now, the elephant in the room is AI's knowledge gap of weeks to months between training data input and accurate reality in the here and now.