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Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 5h ago

RAG Quality in Side Projects: Is Perfection Always Necessary?

Introduction: The Perfection Trap and Side Project Realities This morning, while sitting at my computer, I was reviewing the logs of the RAG (Retrieval-Augmente

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1d ago

GraphRAG vs Vector RAG: When Simple Vector Search Stops Being Enough

GraphRAG is not just another AI buzzword. It is part of a larger architectural shift happening inside retrieval-augmented generation systems. Most early RAG sys

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

When Should You Use Text2Cypher in a GraphRAG Pipeline

Not every GraphRAG question needs the same retrieval pattern. Some questions need the neighborhood around an entity. Some need a summary across a large part of

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

Engineering RAG Systems That Actually Work: Conversational Retrieval, Page Awareness & Debugging (Part 5)

<img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2F

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

RAG- Understanding of Embedding

What is Embedding? After text is split into chunks, the next process is called embedding. In this step, each chunk is converted into vectors (points in vector s

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 2w ago

Cómo construí un sistema RAG para convertirme en Red Teamer con IA — proyecto en Evolve

Llevo meses trabajando en algo que empezó como una necesidad práctica y se ha convertido en la base de mi estrategia para entrar en el mundo del Red Team: un si

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 2w ago

RAG - Sliding Window, Token Based Chunking and PDF Chunking Packages

Sliding Window Chunking Sliding Window Chunking is a more intensive chunking mechanism. In this method, a window size is defined based on a character or token l

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Your RAG can't answer 'why' -- GraphRAG finds what vector search misses

The question that broke my RAG pipeline I had a solid RAG setup. Embeddings, vector store, top-k retrieval, the whole thing. It handled factual lookups just fin

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Building a RAG Agent for Pharmacy Stock Optimization with Gemini, ChromaDB and LangGraph

Introduction FarmaStock AI is an academic Generative AI project focused on a real-world problem: how to make pharmacy stock analysis easier to understand and ex

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

pdfmux vs LlamaParse vs Docling vs Unstructured: Which PDF extractor for RAG in 2026?

TL;DR : For RAG pipelines in 2026, pick pdfmux if you need free, local, benchmark-proven extraction with per-page confidence scoring (0.905 on opendataloader-be

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Beyond Basic RAG: Architecting a Fault-Tolerant, Agentic AI Platform

<img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2F

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

I benchmarked RAG vs GraphRAG vs pre-structured knowledge graphs across 45 domains — here's what happened

Three retrieval architectures. Same LLM. Same 7,928 queries across 45 domains. Different structure going in. Here are the results: System F1 Score Tokens/query

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Memory Grows, Accuracy Drops: The Unseen Consequences of RAG Systems

Memory Grows, Accuracy Drops: The Unseen Consequences of RAG Systems The Silent Failure of RAG Systems: How Memory Growth Affects Accuracy RAG (Reinforcement Le

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

7 Production RAG Mistakes I Made (And How to Fix Them)

I've shipped RAG systems for healthcare records, financial document search, and real estate databases. The early ones had problems that cost us weeks of debuggi

Dev.to AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Building Production RAG Systems with pgvector: What We Learned After 50 Deployments

We've built over 50 RAG (Retrieval-Augmented Generation) systems in production. Here's what the tutorials don't tell you. The Tutorial Version vs. Reality Every