What is RAG & Vector Search?

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

Where can I learn RAG & Vector Search for free?

DeepCamp offers 4,932 free curated RAG & Vector Search lessons — from beginner-friendly introductions to advanced tutorials — all in one place, no account required.

What are the best RAG & Vector Search tutorials?

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

How long does it take to learn RAG & Vector Search?

It depends on your starting point and goals. Beginners can grasp fundamentals in 2–4 weeks with consistent study. DeepCamp organises RAG & Vector Search lessons by level so you can build skills progressively.

Is RAG & Vector Search a good career skill?

Yes — RAG & Vector Search is highly valued across tech, finance, healthcare, education and professional services. DeepCamp helps you build job-ready RAG & Vector Search skills with practical, real-world lessons.

Can beginners learn RAG & Vector Search?

Absolutely. DeepCamp has beginner-friendly RAG & Vector Search lessons that start with core concepts and build up gradually. No prior experience or paid subscription is required.

RAG & Vector Search Lessons — Free Learning

Dev.to · Puneet Gupta 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago

Making RAG Accurate in Python

Improving retrieval quality beyond cosine top-k: hybrid dense+BM25 search with Reciprocal Rank Fusion, metadata filtering, chunking strategy, and measuring reca

Dev.to · Puneet Gupta 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago

Making RAG Accurate in Java

Improving retrieval quality beyond cosine top-k: hybrid dense+BM25 search with Reciprocal Rank Fusion, metadata filtering, chunking strategy, and measuring reca

Dev.to · Puneet Gupta 🔍 RAG & Vector Search ⚡ AI Lesson 2d ago

RAG From Scratch in Python

Building retrieval-augmented generation from first principles in Python: chunking, embeddings, a hand-rolled cosine-similarity vector search, reranking, and whe

Dev.to · Pirate Prentice 🔍 RAG & Vector Search ⚡ AI Lesson 3d ago

n8n Question and Answer Chain Node: Build Retrieval-Augmented Workflows with Any Document [Free Workflow JSON]

The Question and Answer Chain node is n8n's built-in RAG (Retrieval-Augmented Generation) node. You...

Dev.to · Melissa D. Ellison 🔍 RAG & Vector Search ⚡ AI Lesson 5d ago

A RAG evaluator that admits what it can't judge

Fail-closed groundedness, deterministic corroborators, and a self-test — because an evaluator should...

Dev.to · Suman Nath 🔍 RAG & Vector Search ⚡ AI Lesson 5d ago

Practical RAG, Part 1: The Simplest RAG That Actually Works

Build a working Retrieval-Augmented Generation pipeline from scratch in ~40 lines of Python — then see exactly where it breaks. Part 1 of a hands-on series.

Dev.to · Oluwagbade Odimayo 🔍 RAG & Vector Search ⚡ AI Lesson 5d ago

I Built a Biomedical RAG System, and a 40-Year-Old Algorithm Beat My Vector Database

A hands-on walkthrough of a retrieval-augmented QA pipeline over PubMed abstracts, the evaluation...

Dev.to · Kunal Garg 🔍 RAG & Vector Search ⚡ AI Lesson 5d ago

What is RAG ? | Completely Explained in 10 Minutes | Hindi

Hearing "RAG" everywhere in AI but not 100% sure how it works? 🤔 I just put together a quick...

Dev.to · Ahmet Özel 🔍 RAG & Vector Search ⚡ AI Lesson 5d ago

AutoRAG vs RAGBuilder vs Red Hat AutoRAG: Which RAG Pipeline Wins on YOUR Data (and Their Shared OCR Blind Spot)

Want to build an AI assistant that talks to your company documents? First you need to answer one...

Dev.to · ping wang 🔍 RAG & Vector Search ⚡ AI Lesson 6d ago

How to Debug RAG Hallucinations: Building Semantic Observability for Production AI

Learn how to build semantic observability for production RAG systems to catch hallucinations and irrelevant responses before users notice.

Dev.to · Austin Vance 🔍 RAG & Vector Search ⚡ AI Lesson 6d ago

Your RAG Pipeline Hallucinates Because It Never Checks Its Own Work

Build a corrective RAG pipeline with LangGraph that grades retrieval quality, rewrites bad queries, and generates cited answers.

Dev.to · Dumebi Okolo 🔍 RAG & Vector Search ⚡ AI Lesson 6d ago

Semantic Observability: Engineering Reliability for Production RAG

It is a noticeable thing when a microservice fails. It is either a null pointer exception in a Java...

Dev.to · Vectorlink Labs 🔍 RAG & Vector Search ⚡ AI Lesson 6d ago

Stale RAG vs. expensive RAG: how to cache RAG context without serving outdated answers

If you run a RAG system in production, you eventually hit a dilemma that has nothing to do with your...

Dev.to · lorismascio17 🔍 RAG & Vector Search ⚡ AI Lesson 6d ago

Why vector-only RAG is weak for coding agents

Building Droste: a local structural + semantic code-memory engine for MCP agents AI coding agents...

Dev.to · Marketing wizr 🔍 RAG & Vector Search ⚡ AI Lesson 6d ago

RAG Is Not a Feature. It's a System, and These Are the Parts Nobody Demos.

Retrieval-Augmented Generation demos beautifully. Embed your documents, run a similarity search, drop...

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

Why Your RAG System Needs Hybrid Search (And How to Actually Implement It)

Vector similarity search is powerful but it has a well-known weakness: exact term matching. If a user...

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

RAG Is Dead. Context Engineering Is the Future.

For the last year, everyone has been talking about one architecture. RAG. Retrieval-Augmented...

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

Building a RAG System from Scratch — MCP: Exposing pgvector as a Reusable Tool Server

In the previous article, we built AI Agents that autonomously search our pgvector database. One...

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

Building a RAG System from Scratch with pgvector and Gemini — Implementation

In the previous article, we covered the three core concepts behind RAG. Now let's build it. By the...

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

I Got Tired of Debugging Haystack RAG Pipelines Blind, So I Built a Diagnostics Engine

RAG pipelines fail in quiet ways. Retrieval drops. Documents go missing. Metadata gets corrupted...

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

RAG in 2026: Why Retrieval, Not the Model, Is the Bottleneck

If your RAG gives wrong answers, the model is rarely the problem-retrieval handed it the wrong context. Why retrieval is the real 2026 bottleneck.

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

Build a Simple RAG App with Telnyx AI Inference

RAG is one of those patterns that sounds more complicated than it has to be. At its core,...

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

RAG Is Not a Chatbot Feature. It Is Production AI Infrastructure.

Most enterprise RAG failures are not model failures. They are infrastructure failures. The demo...

Dev.to · Saurabh "Rob" Dahal 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

I Let My AI Agent Build a Bedrock RAG Knowledge Base, Here Are the 2 Mistakes the AWS Agent Toolkit Caught

Provisioning a Bedrock RAG knowledge base with S3 Vectors, without the hallucinated API calls. If...

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

DSPy Reliability, RAG/Agentic AI Patterns, & Parallel Agent Orchestration

DSPy Reliability, RAG/Agentic AI Patterns, & Parallel Agent Orchestration ...

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

Choosing a Vector Database in 2026: pgvector vs. Pinecone vs. Qdrant vs. Weaviate vs. Milvus

Every RAG tutorial pulls the same move. It walks you through embeddings, chunking, retrieval, and...

Dev.to · David El Malih 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

My eval harness paid for itself on the first run: 0.57 0.96, two bugs no unit test could catch

I almost shipped a RAG pipeline that, on certain questions, cited exactly the right document — and...

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

I added a reranker to my RAG pipeline — it broke everything, then I fixed it

In v2 I added hybrid retrieval (FAISS + BM25) to fix keyword blindspots. All 19 test questions...

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

Stop Sending the Raw User Prompt Straight to Your Retriever

A user types a question into your RAG system. Before anything is retrieved, something decides what...

Dev.to · Lois-Kleinner 🔍 RAG & Vector Search ⚡ AI Lesson 2w ago

I built research - Document 04 ? RAG and Knowledge Retrieval in 2 months. Zero cloud. Zero compromise.

**research - Document 04 ? RAG and Knowledge Retrieval** --- ## The Problem This document presents the design and evaluation of the Retrieval-Augmented Generati

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

Phase 1: Document Ingestion - The Hidden Complexity Before Embeddings

The Complete Story: Why Most RAG Systems Fail Before They Start The Story...

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

Why My RAG App Kept Hallucinating (and How I Fixed It)

A few months ago I was demoing my RAG-powered support bot to a colleague, feeling pretty confident...

Dev.to · Alok Ranjan Daftuar 🔍 RAG & Vector Search ⚡ AI Lesson 2w ago

Agentic RAG: Designing Self-Correcting Retrieval Loops for Production

Standard RAG retrieves once and hopes for the best. Agentic RAG retrieves, reflects, decides it was...

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

Why Your RAG System Keeps Hallucinating: The Hidden Cost of Skipping Fundamentals

The chunk size forum thread is 47 replies long. Everyone's arguing about 512 vs 1024 tokens, hybrid...

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

Building a RAG System With Chinese AI Models: Complete Tutorial

Building a RAG System With Chinese AI Models Retrieval-Augmented Generation (RAG) is the...

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

Knowledge Graphs: The Missing Piece in Most RAG Systems

If you've been exploring AI agents recently, chances are you've come across RAG (Retrieval-Augmented...

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

I built a code Q&A bot with RAG – what worked and what failed

A few months ago, our team had a problem: every new developer spent days digging through scattered...

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

Choosing a Vector Database in 2026: pgvector vs Pinecone vs Qdrant vs Weaviate

A practical comparison of the main vector database options for RAG and semantic search — pgvector, Pinecone, Qdrant, and Weaviate — with the trade-offs that act

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

RAG Pipeline: The Uncle-Nephew Complete Learning Guide

How to Build Systems That Actually Know Your Data (Not Hallucinate About It) ...

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

Building TraceroAI: A Better Way to Debug RAG Applications

Over the last few months, I've spent a lot of time building RAG applications and experimenting with...

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

Self-RAG: Let the Model Decide When to Retrieve, Then Grade Itself

Plain RAG retrieves for every query — even "what's 17×23?" that needs no documents. Self-RAG makes...

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

How Japan’s Research Labs Are Building RAG Systems That Actually Work — And What Western Teams Keep Getting Wrong

Your vector database is returning relevant chunks. Your embedding model scores 0.89 on retrieval...

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

How to Build a RAG Pipeline for an Enterprise Knowledge Base That Actually Works in Production

Retrieval-Augmented Generation (RAG) — a pattern where a language model answers questions by first pulling relevant document chunks from a search inde

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

Top Data APIs for Building RAG Pipelines That Need Real-World Coverage

Most teams building RAG applications spend the majority of their time on the generation side — prompt...

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

Your RAG Retrieved the Right Documents but Still Gave the Wrong Answer

Your retriever returned the right documents. The similarity scores look fine. The answer is still...

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

HyDE: The RAG Trick Where You Answer the Question BEFORE You Search

Here's a counterintuitive RAG trick: to find the right document, answer the question first — then...

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

How I added semantic search to a resume matcher — and what the numbers showed

Building a RAG pipeline with pgvector, text-embedding-3-small, and Neon into a production Next.js SaaS — the numbers, the tradeoffs, the code

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

Build a RAG Pipeline for Internal Runbooks with FastAPI and Chroma

Pipeline & Prompts | Byte size guides on DevOps, Cloud and AI AI in the Stack #2 ⚡...