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 4,933 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

Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

I Have a CS Degree AND an MBA — Here’s Why Most RAG Projects Never Leave the Developer’s Laptop

The gap between a working demo and a real product isn’t technical. It’s strategic. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

I Have a CS Degree AND an MBA — Here’s Why Most RAG Projects Never Leave the Developer’s Laptop

The gap between a working demo and a real product isn’t technical. It’s strategic. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

From Python to C++23: Cutting RAG Retrieval Latency from ~800ms to ~35ms

A production story about porting a FastAPI-based legal RAG system to C++23 with Drogon, Qdrant, and llama.cpp, with real benchmark numbers… Continue reading on

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Entity Resolution in Knowledge Graphs: The Math Behind Clean AI Context

How similarity scores, graph relationships, and confidence thresholds help build reliable enterprise RAG systems. Continue reading on Medium »

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

RAG Rerank: the Highest-Leverage Upgrade to Your Retrieval Pipeline

If your RAG app sometimes answers from the wrong document even though the right one was in your database, the fix usually isn't a better embedding model — it's

Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

I’d never buy a managed RAG service again

Eighteen months ago I was the person writing the vendor recommendation. We needed document search across a messy corpus: support tickets… Continue reading on Me

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

RAG Architectures: From Naive to Agentic (With Code)

Retrieval-Augmented Generation has come a long way from “embed, retrieve, generate.” Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Why RAG Exists: Grounding Generative AI with External Knowledge

A practical introduction to Retrieval-Augmented Generation for engineers Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

From Script to System: Building a RAG Pipeline with LangChain, Gradio, and Prefect

I didn’t start this project with a clean architecture in mind. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Building a RAG Pipeline from Scratch: Part 1 — Indexing

In the previous article, I introduced RAG and its three stages: indexing, retrieval, and generation. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Beyond Vector Similarity Search…..

When developers first build a Retrieval-Augmented Generation (RAG) system, the retrieval layer is often implemented using a simple vector… Continue reading on M

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 ⚡...

Medium · NLP 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

We Built a Verification-First RAG System. Here’s What We Learned.

Most Retrieval-Augmented Generation (RAG) systems are designed around a simple objective: Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

I Spent a Week Designing the “Perfect” Code-RAG Engine. Then the Research Told Me to Delete It.

A story about building a code-context tool for AI agents — and discovering that the best version of it barely uses the thing I’d centered… Continue reading on M

Medium · Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

I Rebuilt My RAG Pipeline From Scratch. Here’s What Actually Made It Better.

Spoiler: it wasn’t a bigger model, a better embedding, or a longer prompt. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

How I Approach RAG System Design for Scalable AI Applications in Production

A practical engineer’s guide to building scalable, reliable, and production-ready RAG systems. Continue reading on Medium »

Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Scaling Enterprise RAG for Business Documents: The Engineering Decisions That Actually Matter

A practical guide to building a retrieval system that works — and one that can grow Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Scaling Enterprise RAG for Business Documents: The Engineering Decisions That Actually Matter

A practical guide to building a retrieval system that works — and one that can grow Continue reading on Medium »

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

Why Retrieval Quality Can Matter More Than Model Quality in RAG Systems

One thing that stands out while working with RAG systems is how much influence the retriever has on the final answer. A common assumption is that improving the

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Why a RAG Pipeline Is Becoming Essential for Enterprise AI Strategies

Artificial intelligence has moved from experimentation to execution. Businesses are using it to serve customers better, speed up… Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

I Built a Tool to A/B Test AI Answer Engines. It Told Me My Optimization Didnt Work.

And that’s the most useful thing it could have said. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Building MediBot: A Production-Ready Healthcare RAG Assistant with Hybrid Search, Reranking, SQL…

Large Language Models are powerful, but they come with two significant challenges in enterprise environments. They operate on knowledge… Continue reading on Med

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

How to Actually Evaluate a RAG System: Measuring Retrieval Quality and Generation Faithfulness…

Most teams building RAG systems reach a point where they ask themselves: “Is this working?” Continue reading on Medium »

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

A Cognitive Benchmark for Code-RAG Retrieval: Part 2 — Why Model Rankings Depend on the Pipeline

How embedding models, chunking, retrieval modes, and query phrasing jointly determine Code-RAG quality.

Medium · LLM 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

How Retrieval-Augmented Generation (RAG) Systems Are Transforming AI Workflows with Speed and…

In this article, we will explore how RAG Techniques are Overcoming Latency and Complexity in Real-Time Applications Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Complete Guide to Chunking in RAG (Retrieval-Augmented Generation)

Chunking is one of the most important components in a RAG system. Even if you use the best embedding model and LLM, poor chunking can… Continue reading on Mediu

Medium · UX Design 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

RAG Simply Explained for Product Designers (Who Don’t Know Coding at All)

AI tools such as ChatGPT, Claude, Gemini, etc have become common parts of many designers’ workflows. While much attention is given to… Continue reading on Mediu

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Building Production RAG Systems: The Hidden Complexity Behind “Smart” Company Chatbots

So you’re building a chatbot. Simple project, right? Just a little popup bubble on your company’s “About Us” page that answers employee… Continue reading on Med

Medium · Machine Learning 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Day 9: Retrieval-Augmented Generation (RAG) Explained Simply (For DevOps & Cloud Engineers)

 This is part of my 60-Day Agentic AI Series Continue reading on Medium »

Medium · DevOps 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Day 9: Retrieval-Augmented Generation (RAG) Explained Simply (For DevOps & Cloud Engineers)

 This is part of my 60-Day Agentic AI Series Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Hybrid Search: Combining the Best of Keyword and Semantic search

In the previous article, we covered the foundational building blocks of Search: ‘what are embeddings’, ‘how does text get converted into… Continue reading on Me

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Mastering the Scenario-Based RAG Interview: An Architect’s Guide

The Shift from Theory to Production Continue reading on Medium »

Medium · Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

RAG Explained for Non-Engineers: How I Built an AI-Powered Economic and Financial Research Tool

I am not a software engineer. My background is in applied economics — econometric modelling, regression analysis, policy research, and… Continue reading on Medi

Medium · Python 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

RAG Explained for Non-Engineers: How I Built an AI-Powered Economic and Financial Research Tool

I am not a software engineer. My background is in applied economics — econometric modelling, regression analysis, policy research, and… Continue reading on Medi

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

The Ghost in Your Vector Database: Understanding the Hubness Problem

Why your RAG pipeline keeps surfacing the same chunks and what to actually do about it Continue reading on Medium »

Dev.to · elvisyao007 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

A Chinese 8B model beat the Western 8B models at Japanese RAG. I still wouldn't put it in the default deployment — and that distinction is the point.

Extends an earlier model-selection benchmark to three model families (Japanese / Western / Chinese)...

Medium · DevOps 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

From kubectl to GitOps

Provisioning and Deploying a RAG System with Terraform and ArgoCD Continue reading on Medium »

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

Most RAG Problems Are Retrieval Problems. Here Are 8 Fixes That Worked for Me

The first few times a RAG system gave me a bad answer, I did what I think everyone does: I went and...

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

RAG should never be your default

Vector RAG is the reflexive answer to "give the model more context," and when I built a production...

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

I Cut RAG Costs 65% With DeepSeek + ChromaDB — Full Data

I Cut RAG Costs 65% With DeepSeek + ChromaDB — Full Data Last quarter my team burned through $14,800...

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

Query Rewriting Before Retrieval: The Cheap Recall Win Most Skip

Most RAG pipelines embed the user's raw query and skip the cheapest recall win there is: rewriting it before search.

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Say Goodbye to the PDF Parsing Nightmare: Enter DocLang

If you have spent any time building Retrieval-Augmented Generation (RAG) pipelines or feeding enterprise data into Large Language Models… Continue reading on Me

Medium · ChatGPT 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

When the AI Doesn’t Know the Answer — It Looks It Up

How RAG turns a forgetful AI into one that can actually check its sources. No PhD required. Continue reading on Medium »

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

RAG Is Not About Retrieval: The Real Problem Is Organizational Memory

RAG is often presented as a retrieval problem. In reality, it is a knowledge problem. More specifically, it is an organizational memory… Continue reading on Med

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Parse PDFs for RAG Locally with Docling: Rich Tables, No Cloud Upload

Enterprise Document Intelligence [Vol.1 #5ter] - Table cells, OCR, captions, headings: cloud-grade structure, running on your own machine. No key, no per-page b

Dev.to · Ricardo Feldhaus Krisanoski 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Why my first RAG layer starts in Postgres, not in a standalone vector database

When people say they are "adding RAG" to a workflow, the conversation often jumps too quickly to...

Medium · RAG 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

Building my first RAG pipeline: Why semantic chunking beats fixed-size chunks

As I started exploring AI Engineering, RAG was one of the concepts that appeared everywhere. Continue reading on Medium »

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

Your RAG stack depends on your data. I measured how much.

If you've read more than three RAG tutorials, you've absorbed the same advice I have. Use hybrid search, not just dense. Agonise over your chunking strategy. Re