What is RAG & Vector Search?

Retrieval-augmented generation, vector databases, embeddings and semantic search

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DeepCamp curates the best RAG & Vector Search tutorials from top YouTube educators. You can filter by level (beginner, intermediate, advanced) and duration to find the right fit.

RAG & Vector Search Lessons — Free Learning

Dev.to · Nathaniel Hamlett 🔍 RAG & Vector Search 3mo ago

Why Your RAG System Needs a Graph Database (Not Just Vectors)

Vector search finds what's similar. Graph traversal finds what's connected. I built a system with both — 3M vectors and 252K graph nodes — and the graph catches

Dev.to · Martin Palopoli 🔍 RAG & Vector Search 3mo ago

Cómo construí un pipeline RAG de producción con FastAPI, pgvector y cross-encoder reranking

Construí un motor RAG de producción que combina búsqueda híbrida (pgvector + BM25), reranking con...

Dev.to · BotGuard 🔍 RAG & Vector Search 3mo ago

RAG Security 101: Protecting Your Retrieval-Augmented Generation Pipeline

A single maliciously crafted input can bring down an entire Retrieval-Augmented Generation (RAG)...

Dev.to · Praveen Kumar 🔍 RAG & Vector Search 3mo ago

# Building Scalable RAG Systems with Hierarchical Clustering + Hierarchical RAG (and Why Cluster Summaries Matter)

Retrieval-Augmented Generation (RAG) has become the backbone of many AI-powered applications such as...

Dev.to · Rijul Rajesh 🔍 RAG & Vector Search 3mo ago

Understanding Word2Vec – Part 6: Two Ways Word2Vec Learns Context

In the previous article, we saw the word embeddings concept, and how training causes similar words to...

Dev.to · myougaTheAxo 🔍 RAG & Vector Search 3mo ago

Vector Database Integration Patterns: pgvector, Qdrant, and Weaviate Compared

How to Choose a Vector Database Vector DB selection affects the entire system...

Dev.to · Iniyarajan 🔍 RAG & Vector Search 3mo ago

Complete RAG Tutorial Python: Build Your First Agent

Complete RAG tutorial Python guide. Build production-ready Retrieval-Augmented Generation systems with LangChain, vector databases, and AI agents.

Dev.to · Marin Muštra 🔍 RAG & Vector Search 3mo ago

OpenAI Batch API: Adaptive Status Checks

OpenAI's Batch API lets you run large asynchronous workloads (evaluations, RAG, embeddings, and more)...

Dev.to · Zaki Cole 🔍 RAG & Vector Search 3mo ago

Detecting Embedding Drift: The Silent Killer of RAG Accuracy

Your RAG pipeline shipped fine. Then answers started slipping. The problem is upstream, not the LLM. Here's how embedding drift breaks retrieval and what to do

Dev.to · Anton Pronin 🔍 RAG & Vector Search 3mo ago

How We Built AI Search for WooCommerce Using RAG

TL;DR: Default WooCommerce search is a glorified blog search engine. We built a RAG-based AI search...

Dev.to · Daniel Romitelli 🔍 RAG & Vector Search 3mo ago

Multi‑Vector Embeddings in Production: Typed Vectors, Cache Keys, and a Generator That Refuses Poison Records

I built an embedding pipeline for our recruitment platform that represents each record as four typed vectors instead of one pooled blob: profile, e...

Dev.to · Rijul Rajesh 🔍 RAG & Vector Search 3mo ago

Understanding Word2Vec – Part 5: How Training Creates Word Embeddings

In the previous article, we visualized the vectors on a graph and saw how we can represent similarity...

Dev.to · Daniel Romitelli 🔍 RAG & Vector Search 3mo ago

Multi‑Vector Embeddings in Production: Typed Vectors, Cache Keys, and a Generator That Refuses Poison Records

I built an embedding pipeline for our recruitment platform that represents each record as four typed vectors instead of one pooled blob: profile, e...

Dev.to · Jamie Thompson 🔍 RAG & Vector Search 3mo ago

Vector Databases Explained: A Builder's Guide

A practical comparison of Pinecone, Qdrant, pgvector, and Weaviate from someone who has built production RAG systems. Tradeoffs, performance characteristics, an

Dev.to · Jamie Thompson 🔍 RAG & Vector Search 3mo ago

What Is RAG? A Practitioner's Guide to Retrieval-Augmented Generation

A practical guide to RAG from someone who has deployed it in production for government and enterprise clients. Covers architecture, vector databases, chunking s

Dev.to · Victor Okefie 🔍 RAG & Vector Search 3mo ago

How I Built an Anti-Hallucination Pipeline for Enterprise Legal Documents

The standard advice for building RAG pipelines is to improve your retrieval. Better embeddings....

Dev.to · Lakshmi Sravya Vedantham 🔍 RAG & Vector Search 3mo ago

I rewrote LangChain in 300 lines of Rust (and here's what I found)

LangChain has over 200,000 lines of code. I wanted to understand what RAG actually does — not what...

Dev.to · Delafosse Olivier 🔍 RAG & Vector Search 3mo ago

How Retrieval Augmented Generation Actually Prevents Ai Hallucinations

Originally published on CoreProse KB-incidents Introduction Retrieval Augmented...

Dev.to · Moon Robert 🔍 RAG & Vector Search 3mo ago

LangChain vs LlamaIndex vs Haystack: Lo que aprendí construyendo RAG en producción

Pasé las últimas dos semanas migrando un sistema RAG entre tres frameworks — y no fue una decisión...

Dev.to · Moon Robert 🔍 RAG & Vector Search 3mo ago

LangChain vs LlamaIndex vs Haystack: What Two Weeks in Production Actually Taught Me

My team got handed a RAG project earlier this year — 40,000 documents, mix of PDFs and Confluence...

Dev.to · Ananya S 🔍 RAG & Vector Search 3mo ago

Decoding Embedding Models: Why Your RAG Is Only as Good as Your Vectors 🚀

As an AI Engineer, the first major decision you make in a RAG (Retrieval-Augmented Generation)...

Dev.to · Victorjia 🔍 RAG & Vector Search 3mo ago

FastGPT vs Dify: The Chinese RAG Platform Battle You're Missing

There's a RAG platform with 27,000+ GitHub stars, 200,000+ users, and a thriving ecosystem of...

Dev.to · Moon Robert 🔍 RAG & Vector Search 3mo ago

Construyendo RAG con pgvector: Por Qué Dejé de Pagar Pinecone

En enero abrí las facturas de Supabase y Pinecone al mismo tiempo por primera vez. Hasta ese momento...

Dev.to · Moon Robert 🔍 RAG & Vector Search 3mo ago

Building RAG with pgvector: Why I Stopped Paying for Pinecone

The $340 invoice showed up on a Tuesday in late January. Not wild money in isolation, but this was...

Dev.to · NEBULA DATA 🔍 RAG & Vector Search 3mo ago

Specialized chatbot using RAG

Specialized Chatbot using RAG (Retrieval-Augmented Generation) — Part II In the previous...

Dev.to · parupati madhukar reddy 🔍 RAG & Vector Search 3mo ago

Building a RAG System from Scratch: Turning Aviation Disruption Data into an AI-Powered Q&A App

I recently built a Retrieval-Augmented Generation (RAG) system that lets you ask natural language...

Dev.to · Damla Hamurcu 🔍 RAG & Vector Search 3mo ago

How I Scoped a RAG Knowledge Base Per Tenant

I'm building a multi-tenant AI chatbot, the kind where businesses embed a chat widget on their site,...

Dev.to · Kirill Strelnikov 🔍 RAG & Vector Search 3mo ago

Build a Production RAG Chatbot with Django + pgvector + OpenAI (Full Guide)

I'm Kirill Strelnikov, a freelance AI/Django developer in Barcelona. I've built RAG chatbots that...

Dev.to · Allan Roberto 🔍 RAG & Vector Search 3mo ago

Let's build a flow to vectorize data

Indexing Knowledge Base Content with Spring Boot and pgvector ...

Dev.to · Allan Roberto 🔍 RAG & Vector Search 3mo ago

Turning PostgreSQL Into a Vector Database with Docker

To store and query embeddings, we need a database capable of handling vector similarity search. A...

Dev.to · Sanjay Ghosh 🔍 RAG & Vector Search 3mo ago

From Image to Vector: Building Image Similarity Search with Python and MySQL

Modern applications increasingly rely on vector embeddings to search and compare data such as text,...

Dev.to · Kehinde Ogunlowo 🔍 RAG & Vector Search 3mo ago

Building Production RAG Pipelines on AWS with Bedrock and OpenSearch

RAG (Retrieval-Augmented Generation) is how enterprises are deploying LLMs without fine-tuning. But...

Dev.to · Ozioma Ochin 🔍 RAG & Vector Search 3mo ago

Building a Semantic Search API with Spring Boot and pgvector - Part 1: Architecture

The problem with Keyword Search Keyword search breaks more often than most engineers...

Dev.to · suissAI 🔍 RAG & Vector Search 3mo ago

Vectorless RAG: Entenda Como Fazer RAG Sem Vector Database

A indústria de Retrieval-Augmented Generation (RAG) passou os últimos dois anos orbitando uma mesma...

Dev.to · Beck_Moulton 🔍 RAG & Vector Search 3mo ago

Vectorizing Your Vitals: Converting 10GB of Apple Health Data into a Personal RAG Brain

If you've ever tried to open your Apple Health export file, you know it's where dreams of "quantified...

Dev.to · Philip McClarence 🔍 RAG & Vector Search 3mo ago

Scaling pgvector: Memory, Quantization, and Index Build Strategies

Scaling pgvector: Memory, Quantization, and Index Build Strategies pgvector handles...

Dev.to · Ahmet Zeybek 🔍 RAG & Vector Search 3mo ago

I Deleted Pinecone, Redis, and 400 Lines of Python. My RAG Pipeline Still Works.

I had 5 services running for a RAG pipeline. Turns out I only needed PostgreSQL. Here's the whole thing in SQL.

Dev.to · Aman Pandey 🔍 RAG & Vector Search 3mo ago

I got tired of writing 30 lines of LangChain boilerplate every time. So I published a fix.

Every time I started a new project that needed RAG, I wrote the same 30 lines. Load documents. Split...

Dev.to · Rohan Sharma 🔍 RAG & Vector Search 3mo ago

Your RAG Pipeline is Leaking - 4 Data Leak Points Nobody Talks About

Every enterprise running RAG today is doing what Samsung engineers did in 2023 — sending sensitive...

Dev.to · saif ur rahman 🔍 RAG & Vector Search 3mo ago

How Retrieval-Augmented Generation (RAG) Works on AWS

How Retrieval-Augmented Generation (RAG) Works on AWS Generative AI models are powerful,...

Dev.to · Muhammad Arslan 🔍 RAG & Vector Search 3mo ago

Document RAG and GraphRAG APIs in NodeJS

Real-world document ingestion, semantic search, RAG Q&A, and knowledge-graph retrieval—all in one...

Dev.to · Venkat 🔍 RAG & Vector Search 3mo ago

Zero-Knowledge AI Matching: Binarized Embeddings + Hamming Distance

Part 3 of a series on building a privacy-first dating platform for HIV-positive communities. Building...

Dev.to · ruchika bhat 🔍 RAG & Vector Search 3mo ago

Why CRAG is the Evolutionary Leap RAG Has Been Waiting For

For all the justifiable hype surrounding Retrieval-Augmented Generation (RAG), a dirty secret lurks...

Dev.to · Philip McClarence 🔍 RAG & Vector Search 3mo ago

Your pgvector Queries Are Doing Sequential Scans — Here's Why

Your pgvector Queries Are Doing Sequential Scans -- Here's Why pgvector makes it easy to...

Dev.to · Sowndappan S 🔍 RAG & Vector Search 3mo ago

From Prototype to Production: Building a Reliable RAG API with FastAPI + ChromaDB

I recently upgraded my Retrieval-Augmented Generation (RAG) project from a simple demo into a...

Dev.to · Jaipal Singh 🔍 RAG & Vector Search 3mo ago

Best Open-Source LLMs for RAG in 2026: 10 Models Ranked by Retrieval Accuracy

The best LLM for RAG is two models working together. Your embedding model determines whether you retrieve the right chunks. Your generation model determines whe

Dev.to · Zoricic 🔍 RAG & Vector Search 3mo ago

SQLite as a Vector Database — Yes, Really

Do you really need a vector database? For local AI agents, SQLite handles embeddings just fine — and...

Dev.to · Armand al-farizy 🔍 RAG & Vector Search 3mo ago

Beyond the API Wrapper: A Web Developer's Deep Dive into RAG (Retrieval-Augmented Generation)

Introduction Take a look around the tech ecosystem today. Every week, hundreds of new "AI...