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 4,928 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 · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Building RAG Systems That Don’t Lie: What I Learned the Hard Way at Work

My data engineering background made me confident going into RAG. That confidence lasted about two weeks. Continue reading on Medium »

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale

For AI engineers who want to understand every step, not just call the library The post Enterprise Document Intelligence: A Series on Building RAG Brick by Brick

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

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

turbovec for RAG: A Practical Guide to Faster, Smaller Vector Search

turbovec uses Google Research’s TurboQuant algorithm to compress RAG embeddings by 16× and outperform FAISS on ARM by 12–20%, without… Continue reading on Mediu

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs

A scalable semantic localization layer for entity and relationship reconciliation The post Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Kn

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Building Production-Grade RAG: A Complete Architecture Guide

Moving beyond the “embed, retrieve, generate” demo every component you need to ship a reliable, observable, enterprise-ready RAG system. Continue reading on Med

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Chunking Is Easy. Parsing Is Hard.

Why Your RAG Pipeline Is Reasoning Over Broken Data. Continue reading on Medium »

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

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

RAG Chunking Is Not About Length — It Is About Preserving Meaning

Cutting a long document into fixed-size chunks looks harmless until the most important sentence lands exactly on the boundary. Continue reading on Medium »

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

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Secure RAG on Google Cloud: From Private Data to Safe Answers

Most RAG demos look safe because they are small. Continue reading on Google Cloud - Community »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Building a Production RAG Backend for Enterprise Knowledge Bases: Architecture, Decisions, and…

How I designed and built a retrieval-augmented generation system that ingests from Document360 and SharePoint, stores embeddings in Aurora… Continue reading on

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

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

RAG Is Blind to Time — I Built a Temporal Layer to Fix It in Production

Three weeks into testing, a learner told me my AI tutor gave her the wrong answer. Not obviously wrong — just outdated enough to mislead. That was the moment I

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

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

A 5-Minute Crash Course on RAG

Learn how RAG works and why it reduces hallucinations Continue reading on Towards AI »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

What is RAG and How Does It Work with Modern AI Systems?

A practical guide to Retrieval-Augmented Generation — the architecture pattern powering enterprise AI, coding agents, and the next… Continue reading on Jonathan

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time

Your RAG system isn’t failing at retrieval — it’s failing at reasoning. This article shows how I built a lightweight self-healing layer that detects and correct

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

What I Got Wrong Building a RAG Pipeline from Scratch in TypeScript

I'm building a production-grade, multi-tenant AI support agent in TypeScript. No Python. No LangChain. Just Node.js, PostgreSQL with pgvector, and a lot of wron

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Most RAG Systems Waste 60% of Their Retrieval Calls. Skill-RAG Fixes That.

I audited a RAG pipeline at work last month. 43% of the retrieval calls were for questions the model already knew the answer to. Another… Continue reading on Ar

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

What I Learned About Semantic Caching by Building a RAG Chatbot in a Weekend

I had a clean theory about how RAG caches silently corrupt your answers. Continue reading on Level Up Coding »

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

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

The RAG Pipeline That Was Burning Money on Beautifully Irrelevant Context

An expensive lesson in why having all the information in the world won’t make you any less lost. Continue reading on Medium »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Understanding Retrieval-Augmented Generation (RAG): The Future of Smarter AI

Artificial Intelligence has evolved rapidly, but one major limitation still exists: models don’t always know everything and sometimes they… Continue reading on

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

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

GraphRAG beyond the demo: Lessons from the trenches

When to use it, why it’s hard to ship, and how to make it reliable Continue reading on Data Science + AI at Microsoft »

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

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

DOM Parsing Was Wasting over 40% of My RAG Ingestion Budget.

When the first wave of LLM wrappers hit the market, developers quickly realized they had a massive problem: AI models confidently lied. To… Continue reading on

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

From 0% to 91% Review Coverage: Building and Measuring an AI-Powered Code Review Pipeline with RAG

Why this problem, why now Continue reading on Medium »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

The RAG Quality Wall: Why Your AI Gets 62% Right and What It Takes to Reach 94%

Most teams hit the same ceiling around week three of production. Here’s the architecture pattern that breaks through it. Continue reading on Medium »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

RAG With Deterministic Outputs: Hybrid Extraction for Financial Statements

Solving the hallucination problem in numerical RAG pipelines Continue reading on Medium »

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

We Spent Five Parts Improving Our RAG Pipeline. We Had No Idea If Any of It Was Working.

Part 6 of my GenAI Systems series — and the finale. Parts 1–5 built and optimized a production RAG pipeline, one honest correction at a… Continue reading on Med

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

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Python RAG Systems: Build AI That Actually Knows Your Data

The Problem With “Smart” AI Continue reading on Medium »

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Your RAG Gets Confidently Wrong as Memory Grows – I Built the Memory Layer That Stops It

As memory grows in RAG systems, accuracy quietly drops while confidence rises — creating a failure that most monitoring systems never detect. This article walks

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

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Graph RAG and Agentic RAG (Part 2): Where Retrieval Finally Gets Smart

Flat vector search was a great start, but anyone who has tried to answer multi-hop questions or track entity relationships across a large… Continue reading on M

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It).

Your RAG system is retrieving the right documents with perfect scores — yet it still confidently returns the wrong answer. I built a 220 MB local experiment tha

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Why RAG Systems Fail in Production: The Retrieval Architecture Problem Enterprises Miss

Retrieval-augmented generation, or RAG, is one of the most practical ways to make AI useful inside a business. It promises something… Continue reading on Medium

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Why Your RAG System Costs 10x More Than You Think

The hidden infrastructure tax of Retrieval-Augmented Generation Continue reading on Medium »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

The Asymmetric Efficiency Manifesto: Why Vector RAG is a Dead End for Corporate Memory

How we shattered the SOTA memory benchmarks by ditching stochastic vectors for a deterministic graph. Continue reading on Medium »

Medium · Programming 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Local RAG: How I Turned My 10-Year PDF Archive into a Private Search Engine

I am a digital hoarder. My “Documents” folder is a graveyard of 2014 tax returns, scanned menus from restaurants that closed during the… Continue reading on Med

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

“RAG Is Dead”: Influencer Fearmongering or Fact? The Enterprise Data Says Otherwise.

TL;DR: Karpathy shared a clever personal wiki tool for ~100 documents. The internet declared RAG dead. Enterprise data says the opposite… Continue reading on Me

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

RAG Is Not a Memory System. It’s a Policy Engine.

How to actually use Vector Databases in production AI agent systems Continue reading on Medium »

Medium · AI 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Chunking Methods for RAG

If you’re building a RAG pipeline, chunking is the step that quietly decides whether your retrieval works or doesn’t. We will cover 7… Continue reading on Mediu