Core AI

RAG & Vector Search

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

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Chunk documents with LangChain or LlamaIndex

Set up Pinecone, Weaviate, or pgvector

Run RAGAS evaluation on a RAG pipeline

Build a hybrid BM25 + dense retrieval pipeline

Videos 3,464 Reads 680

All Reads (680) Articles (192)Blog Posts (418)Tutorials (68)Research Papers (2)

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RAG vs Fine‑Tuning: A Simple, Practical Guide for Beginners

Dev.to · Jemas Kumar 🔍 RAG & Vector Search 7mo ago

RAG vs Fine‑Tuning: A Simple, Practical Guide for Beginners

Generative AI is accelerating faster than ever, yet many beginners still struggle to understand one...

Embeddings y RAG en aplicaciones web

Dev.to · Jean Carlo Vittory Laguna 🔍 RAG & Vector Search 7mo ago

Embeddings y RAG en aplicaciones web

Quiero esta vez escribir un poco sobre el proceso de construcción de una pequeña idea que use para...

How to Avoid Common Data Management Pitfalls in Enterprise RAG Systems: A Guide to Effective Governance and Observability

Dev.to · Kamya Shah 🔍 RAG & Vector Search 7mo ago

How to Avoid Common Data Management Pitfalls in Enterprise RAG Systems: A Guide to Effective Governance and Observability

TL;DR Enterprise RAG often fails due to weak data governance (unversioned corpora, missing lineage,...

Semantic search with embeddings in JavaScript: a hands-on example using LangChain and Ollama

Dev.to · Roberto B. 🔍 RAG & Vector Search 8mo ago

Semantic search with embeddings in JavaScript: a hands-on example using LangChain and Ollama

Have you ever searched for something online and got the right result even though you didn’t type the...

Building an Intelligent RAG System with Query Routing, Validation and Self-Correction

Dev.to · Aniket Hingane 🔍 RAG & Vector Search 8mo ago

Building an Intelligent RAG System with Query Routing, Validation and Self-Correction

Building an Intelligent RAG System with Query Routing, Validation and Self-Correction ...

Building a Self-Improving RAG System with Smart Query Routing and Answer Validation

Dev.to · Aniket Hingane 🔍 RAG & Vector Search 8mo ago

Building a Self-Improving RAG System with Smart Query Routing and Answer Validation

In my journey building production RAG systems, I discovered that basic retrieval isn't enough. This article shows you how to build an intelligent RAG ...

Building RAGenius: A Production-Ready RAG System with FastAPI, Azure OpenAI & ChromaDB

Dev.to · Mohd Aquib 🔍 RAG & Vector Search 8mo ago

Building RAGenius: A Production-Ready RAG System with FastAPI, Azure OpenAI & ChromaDB

🧠 Building RAGenius: A Production-Ready RAG System Have you ever wanted to chat with your...

PaddleOCR VL + RAG: Revolutionize Complex Data Extraction (Open-Source)

Dev.to · Gao Dalie (Ilyass) 🔍 RAG & Vector Search 8mo ago

PaddleOCR VL + RAG: Revolutionize Complex Data Extraction (Open-Source)

Not even a month ago, I made a video about MistralOCR that many of you liked. After that, a...

**Beyond Binary RAG: Enhancing Decision-Making with Nuanced

Dev.to · Dr. Carlos Ruiz Viquez 🔍 RAG & Vector Search 8mo ago

**Beyond Binary RAG: Enhancing Decision-Making with Nuanced

Beyond Binary RAG: Enhancing Decision-Making with Nuanced Risk Assessment The all-too-familiar Red,...

What are Vector Embeddings?

Dev.to · Ólafur Aron Jóhannsson 🔍 RAG & Vector Search 8mo ago

What are Vector Embeddings?

It's just matrices Vector embeddings serve a very important piece in technology today, as...

Building a High-Performance Text Embedding API with Rust, Axum, Candle and ONNX

Dev.to · Mayuresh Smita Suresh 🔍 RAG & Vector Search 8mo ago

Building a High-Performance Text Embedding API with Rust, Axum, Candle and ONNX

Learn how to build a production-ready text embedding API in Rust using Axum, ONNX Runtime, and Candle with support for MiniLM and EmbedGemma models

RAG is Not Dead! No Chunking, No Vectors, Just Vectorless to Get the Higher Accuracy

Dev.to · Gao Dalie (Ilyass) 🔍 RAG & Vector Search 8mo ago

RAG is Not Dead! No Chunking, No Vectors, Just Vectorless to Get the Higher Accuracy

Over the past two years, I have written numerous articles on how Retrieval-Augmented Generation has...

Unlocking Code's Inner Secrets: Behavioral Embeddings for Optimization by Arvind Sundararajan

Dev.to · Arvind SundaraRajan 🔍 RAG & Vector Search 8mo ago

Unlocking Code's Inner Secrets: Behavioral Embeddings for Optimization by Arvind Sundararajan

Unlocking Code's Inner Secrets: Behavioral Embeddings for Optimization Tired of compiler...

Understanding RAG: How AI Models Learn to Search Before They Speak

Dev.to · Arjun Cm 🔍 RAG & Vector Search 8mo ago

Understanding RAG: How AI Models Learn to Search Before They Speak

Understanding RAG: How AI Models Learn to Search Before They Speak Imagine asking an AI...

Bug fixes for neural web

Dev.to · Okerew 🔍 RAG & Vector Search 8mo ago

Bug fixes for neural web

Made vocabulary and embedding code less likely to crash fixed bugs associated with this. Fixed even...

Teaching Security Scanners to Remember - Using Vector Embeddings to Stop Chasing Ghost Ports

Dev.to · Simon Morley 🔍 RAG & Vector Search 8mo ago

Teaching Security Scanners to Remember - Using Vector Embeddings to Stop Chasing Ghost Ports

I've scanned the same 118 blockchain validator nodes probably 200 times over the past year. And for...

HOW EMBEDDINGS POWER DAILY SYSTEMS

Dev.to · Geoffrey Kirumba 🔍 RAG & Vector Search 8mo ago

HOW EMBEDDINGS POWER DAILY SYSTEMS

Originally published on Medium. Ever wonder how YouTube just knows what you’ll want to watch next?...

Building a YouTube Video Search App with Flask, Whisper, and RAG

Dev.to · Abhiraj Adhikary 🔍 RAG & Vector Search 8mo ago

Building a YouTube Video Search App with Flask, Whisper, and RAG

Building a YouTube Video Search App with Flask, Whisper, and RAG Ever wanted to search for...

LLPY-04: Vectorización y Embeddings - Preparando Datos para RAG

Dev.to · Jesus Oviedo Riquelme 🔍 RAG & Vector Search 8mo ago

LLPY-04: Vectorización y Embeddings - Preparando Datos para RAG

🎯 Introducción En el mundo de los sistemas RAG (Retrieval-Augmented Generation), la...

Building a RAG from Scratch: A Beginner's Guide (Part 1: The Basic Pipeline)

Dev.to · Hady Walied 🔍 RAG & Vector Search 8mo ago

Building a RAG from Scratch: A Beginner's Guide (Part 1: The Basic Pipeline)

Welcome to the first post in our series on building an intelligent question-answering system. In this...

RAG Chunking Strategies That Actually Work (and Why Most Don’t)

Dev.to · Rajesh Singh 🔍 RAG & Vector Search 8mo ago

RAG Chunking Strategies That Actually Work (and Why Most Don’t)

So, you’ve decided to build a RAG (Retrieval-Augmented Generation) system. Congrats! 🎉 You’ve just...

94% of RAG Systems Have No Backup Plan: The $2M Disaster That Proves It

Dev.to · klement gunndu 🔍 RAG & Vector Search 8mo ago

94% of RAG Systems Have No Backup Plan: The $2M Disaster That Proves It

South Korea's government lost $2M in a cloud fire with zero backups. Your RAG system could be next. Here's the 3-2-1 rule that prevents catastrophic d

I built RAGSharp: a lightweight RAG library for .NET

Dev.to · Senthil V 🔍 RAG & Vector Search 8mo ago

I built RAGSharp: a lightweight RAG library for .NET

I’ve been exploring Retrieval-Augmented Generation (RAG) in .NET and noticed that most approaches I...

Caching in Vector Database: What You Need to Know

Dev.to · Anthony Orji 🔍 RAG & Vector Search 8mo ago

Caching in Vector Database: What You Need to Know

If you have ever built or used a Retrieval-Augmented Generative (RAG) pipeline, there is a chance...

Prompt Caching Slashed My AI Bills by 90%. Here's What Nobody Tells You.

Dev.to · klement gunndu 🔍 RAG & Vector Search 8mo ago

Prompt Caching Slashed My AI Bills by 90%. Here's What Nobody Tells You.

Stop paying full price for repetitive AI prompts. Learn how prompt caching cut costs from $900 to $90/month for RAG systems, agents, and chatbots.

Vector Databases Guide: RAG Applications 2025

Dev.to · klement gunndu 🔍 RAG & Vector Search 9mo ago

Vector Databases Guide: RAG Applications 2025

Master vector databases for RAG apps. Compare Pinecone, Weaviate, Milvus & pgvector. Learn embeddings, semantic search & LLM integration with Claude A

Why Most RAG Pipelines Fail in Production (and How to Fix Them)

Dev.to · Piyoosh Rai 🔍 RAG & Vector Search 9mo ago

Why Most RAG Pipelines Fail in Production (and How to Fix Them)

Most Retrieval-Augmented Generation (RAG) pipelines look great in demos. They pass test cases, return...

Turn Your PDFs into a Chatbot with n8n + Open AI (No Vector DB Needed).

Dev.to · Ebikara Spiff ᴀɪᴄᴍᴄ 🔍 RAG & Vector Search 9mo ago

Turn Your PDFs into a Chatbot with n8n + Open AI (No Vector DB Needed).

Most people think you must set up a complex RAG (Retrieval Augmented Generation) system with vector...

The New AI Trinity

Dev.to · Agbo, Daniel Onuoha 🔍 RAG & Vector Search 9mo ago

The New AI Trinity

How RAG, Agents, and MCP Are Building the Future of Intelligent Systems ...

Unlocking the Power of Vector Databases and AI Search: A Comprehensive Guide 🚀

Dev.to · SabariNextGen 🔍 RAG & Vector Search 9mo ago

Unlocking the Power of Vector Databases and AI Search: A Comprehensive Guide 🚀

Alright, the user is asking me to write a detailed Hashnode blog post about "Vector Databases &...

How to Validate RAG-based Chatbot Outputs: Frameworks, Tools, and Best Practices for Reliable Conversational AI

Dev.to · Satyam Chourasiya 🔍 RAG & Vector Search 9mo ago

How to Validate RAG-based Chatbot Outputs: Frameworks, Tools, and Best Practices for Reliable Conversational AI

Meta Description: A deep-dive technical guide to validating Retrieval-Augmented Generation (RAG)...

RAG for Dummies

Dev.to · Naomi Jepkorir 🔍 RAG & Vector Search 9mo ago

RAG for Dummies

If you’ve been following AI news, you’ve probably heard the term RAG popping up everywhere. No, it’s...

Amazon ElastiCache Redis as a Vector Embeddings Storage for Semantic Search in AWS Community Blog posts

Dev.to · Roman Tsypuk 🔍 RAG & Vector Search 9mo ago

Amazon ElastiCache Redis as a Vector Embeddings Storage for Semantic Search in AWS Community Blog posts

Abstract The AWS Community Builders program has produced an enormous trove of insightful...

Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)

Dev.to · Ricardo Mello 🔍 RAG & Vector Search 9mo ago

Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)

Enhancing precision with pre-filters and reducing costs with embedding caching Welcome...

Auto Embeddings in Manticore Search: AI-Powered Search Made Simple

Dev.to · Sergey Nikolaev 🔍 RAG & Vector Search 9mo ago

Auto Embeddings in Manticore Search: AI-Powered Search Made Simple

We're excited to share a new feature that makes building semantic search apps as simple as writing...

Beyond Keywords: Implementing Semantic Search in Java With Spring Data (Part 1)

Dev.to · Ricardo Mello 🔍 RAG & Vector Search 9mo ago

Beyond Keywords: Implementing Semantic Search in Java With Spring Data (Part 1)

Building a semantic movie search app with embeddings and vector queries Have you ever...

RAG FOR DUMMIES

Dev.to · Loryne Joy Omwando 🔍 RAG & Vector Search 9mo ago

RAG FOR DUMMIES

When I first heard the term RAG (Retrieval-Augmented Generation), I honestly thought it was another...

Unlocking the Power of RAG: A Beginner's Guide to Retrieval-Augmented Generation

Dev.to · SabariNextGen 🔍 RAG & Vector Search 9mo ago

Unlocking the Power of RAG: A Beginner's Guide to Retrieval-Augmented Generation

Unlocking the Power of RAG: A Beginner's Guide to Retrieval-Augmented Generation The field...

Chatbase + Rag: Quickly build your knowledge base question-answering robot

Dev.to · junyu fang 🔍 RAG & Vector Search 9mo ago

Chatbase + Rag: Quickly build your knowledge base question-answering robot

ChatBase + RAG: Simply put, it treats your website's articles as a knowledge base, connects them to a...

RAG for Dummies

Dev.to · NgetichB 🔍 RAG & Vector Search 9mo ago

RAG for Dummies

Retrieval Augmented Generation(RAG) is a machine learning technique that enhances the capabilities of...

Semantic Search on Easy Mode

Dev.to · MongoDB Guests 🔍 RAG & Vector Search 9mo ago

Semantic Search on Easy Mode

A blog post handcrafted for developers by John Underwood The current renaissance of information...

🔥Embeddings: The Hidden Power Behind AI & Search

Dev.to · Kiran Naragund 🔍 RAG & Vector Search 10mo ago

🔥Embeddings: The Hidden Power Behind AI & Search

Hello Devs👋 Have you ever wondered how Spotify knows the next song you’ll love, or how Google...

Supercharge Your Terminal: ShellGPT + ChromaDB + LangChain for Context-Aware Automation

Dev.to · Prathap Daniel Rajasooriyar 🔍 RAG & Vector Search 10mo ago

Supercharge Your Terminal: ShellGPT + ChromaDB + LangChain for Context-Aware Automation

A Smarter Way to Work in the CLI The command line has always been a place for power users...

How We Used RAG to Power an AI-First Internal Tool Builder

Dev.to · ROBIUL HOQUE 🔍 RAG & Vector Search 10mo ago

How We Used RAG to Power an AI-First Internal Tool Builder

At PromptGrid, we’re building an AI-first internal tool builder where teams can connect their data...

From Markdown to Meaning: Turn Your Obsidian Notes into a Conversational Database Using LangChain, Python, and ChromaDB

Dev.to · Prathap Daniel Rajasooriyar 🔍 RAG & Vector Search 10mo ago

From Markdown to Meaning: Turn Your Obsidian Notes into a Conversational Database Using LangChain, Python, and ChromaDB

Lost in Notes If you're like me, your Obsidian vault has grown into a sprawling collection...

Let's Build a Voice RAG System That Actually Works 🎉

Dev.to · Akan 🔍 RAG & Vector Search 10mo ago

Let's Build a Voice RAG System That Actually Works 🎉

What We're Going to Build (And Why It's Pretty Cool) Youtube Demo So, we know how...

🚀 RAG in Go: From Zero to Answers in One Evening

Dev.to · Aleksei Aleinikov 🔍 RAG & Vector Search 10mo ago

🚀 RAG in Go: From Zero to Answers in One Evening

Thought building a RAG service needs big infra? Think again. With just Go + PostgreSQL (pgvector) +...

Multi-model RAG with LangChain

Dev.to · Mark Gyles 🔍 RAG & Vector Search 10mo ago

Multi-model RAG with LangChain

Author: Martin Schaer "I have not failed. I've just found 10,000 ways that won't work." – Thomas...