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📰 Medium · RAG

1,821 articles · Updated every 3 hours · View all reads

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Chunking Is the Most Underrated Decision in Your RAG Pipeline
Medium · RAG 2h ago
Chunking Is the Most Underrated Decision in Your RAG Pipeline
I learned this the hard way across a few RAG projects: when retrieval goes bad, almost everyone reaches for the embedding model or the LLM… Continue reading on
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How We Taught an Investigation to Remember: Building Cold Case Connector with Cognee
Medium · RAG 3h ago
How We Taught an Investigation to Remember: Building Cold Case Connector with Cognee
Solving the “context amnesia” of siloed databases using hybrid graph-vector memory. Continue reading on Medium »
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Nexyn: The AI Memory Layer That Actually Thinks About What to Remember
Medium · RAG 4h ago
Nexyn: The AI Memory Layer That Actually Thinks About What to Remember
Nexyn is an open-source cognitive memory middleware that wraps Cognee with a four-layer biomimetic filter scoring, decaying, and pruning… Continue reading on Me
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Beyond RAGAS: A Five-Layer Framework for Evaluating Production RAG Systems
Medium · RAG 4h ago
Beyond RAGAS: A Five-Layer Framework for Evaluating Production RAG Systems
Continue reading on Medium »
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Contextual Retrieval in Practice
Medium · RAG 🧠 Large Language Models ⚡ AI Lesson 5h ago
Contextual Retrieval in Practice
What I learned building an AI Act chatbot Continue reading on Medium »
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What Is RAG (Retrieval-Augmented Generation)? Explained Like You’re Five
Medium · RAG 5h ago
What Is RAG (Retrieval-Augmented Generation)? Explained Like You’re Five
Not all ghosts are scary — some just need a good library card.  Continue reading on CodeToDeploy »
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I Gave My AI a Memory. Here’s What Flat RAG Was Costing Me.
Medium · RAG 5h ago
I Gave My AI a Memory. Here’s What Flat RAG Was Costing Me.
Upgrading Abra, my personal life OS, from keyword-matched context dumps to a Cognee knowledge graph, and why Graph RAG is the upgrade your… Continue reading on
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Understanding Modern AI Architecture: LLMs, RAG, AI Agents & MCP
Medium · RAG 5h ago
Understanding Modern AI Architecture: LLMs, RAG, AI Agents & MCP
AI development has moved past the days of simply prompting a model and hoping for the best. Today’s real-world AI systems are built as… Continue reading on Medi
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Building RAG Systems with Qdrant: An Operational Deep Dive
Medium · RAG 5h ago
Building RAG Systems with Qdrant: An Operational Deep Dive
Vector databases have become a core component of modern AI systems, especially Retrieval-Augmented Generation (RAG) applications. While… Continue reading on Med
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The Wrong Evidence That Made RAG Hallucinate
Medium · RAG 6h ago
The Wrong Evidence That Made RAG Hallucinate
Understanding Verification & Guardrails Continue reading on Medium »
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The Day I Stopped Trusting My Embeddings
Medium · RAG 8h ago
The Day I Stopped Trusting My Embeddings
A few months back I was debugging a document Q&A system that kept failing in a very specific, very annoying way. Ask it something simple —… Continue reading on
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Building a RAG-Powered YouTube Q&A Assistant: Chat With Any Video
Medium · RAG 8h ago
Building a RAG-Powered YouTube Q&A Assistant: Chat With Any Video
How I combined transcript retrieval and Retrieval-Augmented Generation to let you “talk” to any YouTube video — built with Python… Continue reading on Medium »
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✂️ Chunking Strategies in RAG: How Splitting Text Shapes Retrieval and Embeddings
Medium · RAG 9h ago
✂️ Chunking Strategies in RAG: How Splitting Text Shapes Retrieval and Embeddings
Introduction Continue reading on Medium »
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Your RAG Pipeline Doesn’t Need Embeddings. It Needs BM25.
Medium · RAG 9h ago
Your RAG Pipeline Doesn’t Need Embeddings. It Needs BM25.
Every AI engineer’s first instinct when building search or retrieval is the same: throw an embedding model at it, dump vectors into… Continue reading on Medium
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How to Connect Rally to Your RAG-Based Agentic System: An Enterprise-Grade Guide
Medium · RAG 11h ago
How to Connect Rally to Your RAG-Based Agentic System: An Enterprise-Grade Guide
A step-by-step guide for AI and Data Engineers on integrating Rally (CA Agile Central) as a robust data source for Retrieval-Augmented… Continue reading on Medi
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¿Qué es un RAG?
Medium · RAG 11h ago
¿Qué es un RAG?
Por qué existe y cómo implementar uno sin escribir una línea de código Continue reading on Medium »
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The Context Engineering Framework: How Modern AI Agents Actually Work
Medium · RAG 🤖 AI Agents & Automation ⚡ AI Lesson 12h ago
The Context Engineering Framework: How Modern AI Agents Actually Work
Learn how context engineering, memory systems, RAG, MCP, and AI agent frameworks work together to build reliable, scalable, and… Continue reading on Medium »
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Medium · RAG 16h ago
Is Google Challenging RAG ??
Continue reading on Medium »
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Enterprise Knowledge Graph: A CTO’s Playbook for AI That Understands Your Business
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 17h ago
Enterprise Knowledge Graph: A CTO’s Playbook for AI That Understands Your Business
Core Concepts: Understanding the Enterprise Knowledge Graph Continue reading on Medium »
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Medium · RAG 18h ago
The Practical LlamaIndex Trial Is a Context Contract, Not a Demo
LlamaIndex should not be judged by whether a five-line RAG demo returns a fluent answer. That only proves that one happy path can run. It… Continue reading on M
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Why Your Prompts Aren’t the Problem
Medium · RAG 🧠 Large Language Models ⚡ AI Lesson 19h ago
Why Your Prompts Aren’t the Problem
There’s an idea floating around every prompt engineering course: if you just phrase things right, the AI will finally understand you. Continue reading on Medium
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PixelRAG: When Retrieval Stops Reading Text and Starts Seeing Pages
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 20h ago
PixelRAG: When Retrieval Stops Reading Text and Starts Seeing Pages
PixelRAG replaces text-based retrieval with visual page embeddings — it renders documents as screenshots, retrieves image tiles instead of… Continue reading on
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Presales knowledge bot — making scattered, duplicated, NDA-restricted data searchable
Medium · RAG 23h ago
Presales knowledge bot — making scattered, duplicated, NDA-restricted data searchable
AWS-based production-grade RAG knowledge retrieval solution utilizing Amazon Aurora Continue reading on CodeX »
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KNN vs. HNSW: Choosing the Right Nearest-Neighbor Algorithm for Your RAG Pipeline
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago
KNN vs. HNSW: Choosing the Right Nearest-Neighbor Algorithm for Your RAG Pipeline
If you’ve built a RAG pipeline, a recommendation engine, or a semantic search feature in the last two years, you’ve made a… Continue reading on Medium »
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