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Our RAG Index Was Fresh. 28% of Answers Still Used Yesterday’s Policy.
Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 8h ago
Our RAG Index Was Fresh. 28% of Answers Still Used Yesterday’s Policy.
Our policy chatbot cost the team $47,000 in escalated support tickets and three customer trust incidents before we traced the root cause… Continue reading on Me
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O Problema Que Ninguém Fala Sobre RAG: Manter a Base Atualizada
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 9h ago
O Problema Que Ninguém Fala Sobre RAG: Manter a Base Atualizada
Como automatizei a atualização da base de conhecimento que alimenta o RAG do meu agente de IA de segurança da informação no Copilot Studio… Continue reading on
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Turbopuffer Made Me Rethink RAG: A Fast Index Does Not Mean Correct Retrieval
Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 11h ago
Turbopuffer Made Me Rethink RAG: A Fast Index Does Not Mean Correct Retrieval
Most teams building RAG ask this first: Continue reading on Medium »
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Turbopuffer Made Me Rethink RAG: A Fast Index Does Not Mean Correct Retrieval
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 11h ago
Turbopuffer Made Me Rethink RAG: A Fast Index Does Not Mean Correct Retrieval
Most teams building RAG ask this first: Continue reading on Medium »
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Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 11h ago
PDF Parsers for RAG in 2026: When Open Weights Beat the Frontier Models
Every RAG pipeline has the same boring first step: turn a stack of PDFs, scans, and slide decks into text an embedding model can actually use. It's also where m
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Why Autonomous Prior-Authorization Agents Hallucinate “Phantom Policies”: Architecting Temporal RAG…
Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 13h ago
Why Autonomous Prior-Authorization Agents Hallucinate “Phantom Policies”: Architecting Temporal RAG…
How semantic vector retrieval surfaces deprecated payer guidelines, and how to build deterministic temporal version proxies and dependency… Continue reading on
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Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 20h ago
RAG Is Only as Fresh as Its Weakest Fetch: Data Pipelines for Retrieval Systems
RAG was supposed to fix the knowledge-cutoff problem. Instead, most RAG deployments moved it: the model no longer stalls at its training… Continue reading on Me
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Your RAG Application Works With 100 Documents. What Happens With 1 Million?
Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago
Your RAG Application Works With 100 Documents. What Happens With 1 Million?
When I first built a RAG application, everything looked almost too easy. Continue reading on Medium »
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Your Vector DB Found the Shelter. The Highway Was Already Closed.
Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago
Your Vector DB Found the Shelter. The Highway Was Already Closed.
Part 1 of 3 — Enriching RAG with a Knowledge Graph Part 2 covers Agentic RAG. Part 3 covers evaluation and feedback loops. Continue reading on The Bayshore Blue
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Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago
Vanna AI Alternatives: When RAG-Trained Text-to-SQL Needs Governance
Vanna proved you can get surprisingly far by retrieving similar queries and letting the model pattern-match. Then someone asks a question that resembles nothing
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Architecting the Agentic Underwriter: Why Naive RAG Fails in P&C Insurance
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago
Architecting the Agentic Underwriter: Why Naive RAG Fails in P&C Insurance
How we built a deterministic, secure, and multi-agent AI system using LangGraph, Qdrant, and local LLMs to solve complex Property &… Continue reading on Agentic
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Retrieved-Context Leakage in RAG: Where It Happens
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago
Retrieved-Context Leakage in RAG: Where It Happens
The leak in a RAG pipeline is not in the vector store. It is at the moment retrieval injects confidential source text straight into the… Continue reading on CUB
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How to Build an Agentic RAG Pipeline with Real-Time Web Search
Dev.to · Marcus ma 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago
How to Build an Agentic RAG Pipeline with Real-Time Web Search
Learn how to build an agentic RAG pipeline that combines vector retrieval with real-time web search and returns cited answers.
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Your RAG Pipeline Doesn't Have an Accuracy Problem - It Has an Evaluation Problem
Dev.to · Jason Lau 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago
Your RAG Pipeline Doesn't Have an Accuracy Problem - It Has an Evaluation Problem
A team builds a retrieval-augmented chatbot over the company's internal policy documents. In the...
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The Overlooked Reason Your RAG Pipeline Keeps Returning Garbage
Dev.to · AI Bug Slayer 🐞 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago
The Overlooked Reason Your RAG Pipeline Keeps Returning Garbage
An honest take on where AI agents, LLMs, and production systems actually are right now -- from someone deep in the space.
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Your RAG Demo Works Because Someone Picked the Documents
Dev.to · Nabeel Hassan 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago
Your RAG Demo Works Because Someone Picked the Documents
A RAG prototype takes an afternoon. Chunk some documents, embed them, stuff the top matches into a...
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Dividing your RAG score by retrieval recall overstates your generation quality, and here is by how much
Dev.to · Maya Andersson 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago
Dividing your RAG score by retrieval recall overstates your generation quality, and here is by how much
Almost every RAG eval writeup I read, including several I have recommended, uses the same mental...
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6 Steps That Fixed My RAG Hallucination Rate From 15% to 1%
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago
6 Steps That Fixed My RAG Hallucination Rate From 15% to 1%
Not on Medium? Here’s a friend link so you can read the full article without a paywall… Continue reading on Medium »
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 3d ago
Search Broadly, Seek Evidence on Both Sides, Decide Narrowly: Evidence-Admissible GraphRAG for Longitudinal Clinical Event Verification
arXiv:2608.22062v1 Announce Type: new Abstract: Longitudinal clinical event-relation verification determines whether a patient record supports a specified relat
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From Hard-Coded Retrieval to Real Semantic Search in an Enterprise Multi-Agent AI Platform
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3d ago
From Hard-Coded Retrieval to Real Semantic Search in an Enterprise Multi-Agent AI Platform
How I evolved the Retrieval Agent from temporary sample data into a real RAG pipeline powered by embeddings, ChromaDB, and semantic search Continue reading on M
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From 7K to 72K QPS: Scaling Vector Search for RAG and AI Workloads with NVMe-oE
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3d ago
From 7K to 72K QPS: Scaling Vector Search for RAG and AI Workloads with NVMe-oE
We recently achieved 11.7 million 4-KiB random-read IOPS over two 200-Gb/s Ethernet links using our proprietary NVMe-over-Ethernet… Continue reading on Medium »
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Choosing the Right OCR in 2026
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3d ago
Choosing the Right OCR in 2026
Guide to OCR for Invoices, Handwriting, PDFs, RAG, and More Continue reading on Starling Elevate IT Solution »
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Query Transformation in RAG: Why Your Search Misses the Right Chunk
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 4d ago
Query Transformation in RAG: Why Your Search Misses the Right Chunk
Query transformation is the step in RAG that rewrites your question before it searches, so mismatched wording stops costing you the answer. Continue reading on
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Building Real Semantic Retrieval for an Enterprise Multi-Agent AI Platform
Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 4d ago
Building Real Semantic Retrieval for an Enterprise Multi-Agent AI Platform
From document ingestion and embeddings to ChromaDB semantic search — while keeping the architecture modular, testable, and ready for… Continue reading on Medium
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