In my Pokémon RAG project, I’m realizing how critical evaluation is — not just at the generation stage, but across the entire system.
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The Q&A dilemma
Even with hybrid retrieval, some Pokémon answers still miss the point.
My intuition: documents without a question-answer format make intent ambiguous.Structuring knowledge as Q&A could be key to aligning retrieval with actual user intent.
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I compared t-SNE and UMAP on the Pokémon embeddings stored in Qdrant.
t-SNE scattered everything with little global meaning.
UMAP formed clear clusters aligned with document themes.
A simple change in visualization can reveal how coherent your embedding space really is.
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I’m now using Qdrant to power the hybrid retrieval system for my Pokémon knowledge project.
It combines dense and sparse vectors
Next step: testing how structure and context influence what the model retrieves.
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Experimenting with Neo4j inside a RAG pipeline made me wonder — do graph databases really add value here? 🤔
They’re great for relationships and reasoning, but is the extra complexity worth it?
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I’ve been building a RAG system based on Pokémon data — combining Neo4j for structured knowledge and Qdrant for semantic retrieval.
It’s not groundbreaking, but it’s been a great way to learn how hybrid RAGs actually work in practice.
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Most of the graph db parts are inspired in this article from "Pokégraph: Gotta Graph ‘Em All!" written by @joedepeau
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Target engineering was crucial: 4h gap + 2h horizon for failure prediction
Prioritized recall over precision (missing a failure >> unnecessary maintenance)
Business context drives everything in applied ML
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Always exploring new approaches in AI/ML 🚀
Code is public if anyone wants to dive deeper or has feedback
What MLOps tools are you excited about lately?
Repo: github.com/Maxkaizo/pred_mai…
#MachineLearning #MLOps #AI #Python
Looking to level up in AI agents & LLMs?
Alexey Grigorev's new bootcamp is 🔥
Practical, hands-on, and focused. Starts Oct 6 (7 weeks)
Info: maven.com/alexey-grigorev/fr…
Scholarships: forms.gle/JfDwCX4CRaLnz8jU9
A solid opportunity—worth sharing.
#AI #LLM #RAG #Agents #AIengineering
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Maxkaizo retweeted
BRO THIS IS THE MOST UNHINGED MINUTE OF WRESTLING YOU WILL EVER SEE 😂
OH MY GOSH
#WorldsCollide
nitter.gq/ShootOrWork/status/196…










