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GKGaurav Kumargauravbytes.dev12h ago · 14 min read

How to Evaluate RAG Retrieval: A Practical Guide to Precision, Recall, MRR, MAP, and NDCG

You implemented a search algorithm in your RAG system and it's returning data without any error, and you think that's it, you're done. You're wrong. That mindset works fine for a normal system — an AP

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AKAyush kumarayush6318.hashnode.dev13h ago · 10 min read

Turning Any YouTube Video Into a Personal Study Companion: Building the YouTube Study & Research Studio

Introduction YouTube has quietly become one of the biggest learning platforms in the world. Lectures, conference talks, tutorials, interviews — there's a video for almost everything. But it comes with

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VTVaibhav Tekamtech4biz-solutions.hashnode.dev21h ago · 7 min read

Who verifies the verifier, and why AI eventually needs a floor it cannot argue with

There is a question in AI right now that a whole research field has walked into from one side, and that we keep meeting from the other. The field is asking whether we can trust a model to judge anothe

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DADaniel Anthony Romitelli Jrcraftedbydaniel.hashnode.dev10h ago · 9 min read

Vector Split by Chunk: Why My Retrieval Stops at the Boundary I Drew

A draft of mine missed the exact file span it needed. The vector was "close." But the chunk I wanted was buried inside a larger blob, and the miss was clean enough to be embarrassing: the sort of thin

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DADaniel Anthony Romitelli Jrcraftedbydaniel.hashnode.dev10h ago · 10 min read

Why I Kept Search Scope Inside a Single Supabase RPC

The embedding was right. The similarity score was right. The answer was completely wrong. The chunk that came back shared vocabulary with the query, shared naming conventions, shared architectural pat

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DADaniel Anthony Romitelli Jrcraftedbydaniel.hashnode.dev10h ago · 10 min read

Coverage Before Creativity: The RAG Gate That Keeps My Blog Pipeline Honest

The first failure I had to get rid of in the blog pipeline wasn't a bad paragraph. It was a bad evidence set. The system would find a few nearby chunks, mistake density for coverage, and then draft as

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SPSumit Patilcodewithpatil.hashnode.dev1d ago · 5 min read

🚀 Day 2: Understanding npm in Node.js – Packages, package.json & Your First Project

👋 Welcome Back, Developers! In Day 1, we learned what Node.js is, why it was created, how to install it, and how to run our first JavaScript program. Today, we're going to explore npm (Node Package M

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HSHarshvardhan Singhhrsvd.hashnode.dev22h ago · 7 min read

Semantic Caching in Production: What Breaks When Cosine Similarity Isn't Enough

The alert read: error_rate.support_bot > threshold (12.4%). Not down. Not slow. Wrong. The support bot was confidently returning answers, fast, at low cost and roughly one in eight of them was incorre

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SRShashank Reddy3qverse.hashnode.dev19h ago · 13 min read

The Death of Memorization: How RAG Is Redefining Artificial Intelligence

I need to tell you something that most AI explainer videos get wrong. They'll tell you AI is "smart" because it "knows" things. Ask it about photosynthesis, it explains photosynthesis. Ask it about Wo

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VKVarun Kumawatdevhubcommunity.hashnode.dev1d ago · 17 min read

Building DoStuff: An AI Agent From Scratch (No Frameworks, Just the Fundamentals)

Watch the walkthrough for a less technical deep dive: https://www.youtube.com/watch?v=Ah3I2DKsljo Most "build an AI agent" tutorials wrap LangChain or a similar framework around a model and call it do

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Trending tags this week

How to Evaluate RAG Retrieval: A Practical Guide to Precision, Recall, MRR, MAP, and NDCG

Turning Any YouTube Video Into a Personal Study Companion: Building the YouTube Study & Research Studio

Who verifies the verifier, and why AI eventually needs a floor it cannot argue with

Vector Split by Chunk: Why My Retrieval Stops at the Boundary I Drew

Why I Kept Search Scope Inside a Single Supabase RPC

Coverage Before Creativity: The RAG Gate That Keeps My Blog Pipeline Honest

🚀 Day 2: Understanding npm in Node.js – Packages, package.json & Your First Project

Semantic Caching in Production: What Breaks When Cosine Similarity Isn't Enough

The Death of Memorization: How RAG Is Redefining Artificial Intelligence

Building DoStuff: An AI Agent From Scratch (No Frameworks, Just the Fundamentals)