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

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All Reads (684) Articles (195)Blog Posts (418)Tutorials (69)Research Papers (2)

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Designing Data Systems with Vector Embeddings using Redis Vector Sets

Dev.to · Ricardo Ferreira 🔍 RAG & Vector Search 11mo ago

Designing Data Systems with Vector Embeddings using Redis Vector Sets

Introduction Every software engineer has faced this challenge: how do you model complex,...

Vector Embeddings and Vector Search

Dev.to · shrey vijayvargiya 🔍 RAG & Vector Search 11mo ago

Vector Embeddings and Vector Search

Originally published on iHateReading Hello and welcome to the new blog Search on website is what we...

I built a Supercharged PDFs-ChatBot with LangChain and Streamlit, and you can too!

Dev.to · Harith Y 🔍 RAG & Vector Search 11mo ago

I built a Supercharged PDFs-ChatBot with LangChain and Streamlit, and you can too!

A step-by-step journey into building a flexible, multi-provider RAG application that lets you talk to...

RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

Dev.to · Remo H. Jansen 🔍 RAG & Vector Search 11mo ago

RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

Over the past few months, I’ve been diving deep into Retrieval-Augmented Generation (RAG) and...

The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

Dev.to · Himanjan 🔍 RAG & Vector Search 11mo ago

The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

A developer's journey from excitement to shock—and what I learned about LangChain's true cost. ...

Vector Databases for Data Scientists: What, Why, and When to Use Them

Dev.to · Fahad Ahmed 🔍 RAG & Vector Search 11mo ago

Vector Databases for Data Scientists: What, Why, and When to Use Them

What if your database actually brought you, not just similar words but meaning, intent, and...

The What, Why and How of Retrieval Augmented Generation (RAG)

Dev.to · XIMNET 🔍 RAG & Vector Search 11mo ago

The What, Why and How of Retrieval Augmented Generation (RAG)

In today’s fast-evolving digital landscape, businesses are increasingly turning to...

Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store

Dev.to · Chandrani Mukherjee 🔍 RAG & Vector Search 11mo ago

Next-Gen Q&A: Retrieval-Augmented AI with Chroma Vector Store

A Retrieval-Augmented Generation (RAG) agent combines document retrieval with LLM-based response...

JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

Dev.to · Benedetto Proietti 🔍 RAG & Vector Search 11mo ago

JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

Hi everyone — I'm Benedetto Proietti, Head of Architecture at Janea Systems. I spend most of my time...

Make a GenAI chatbot using GraphRAG with SurrealDB + LangChain

Dev.to · Mark Gyles 🔍 RAG & Vector Search 12mo ago

Make a GenAI chatbot using GraphRAG with SurrealDB + LangChain

Author: Martin Schaer What is traditional RAG Retrieval-Augmented Generation (RAG) is an...

Unlocking Data Insights: A Semantic Search App with MindsDB and Django

Dev.to · Samuel Komfi 🔍 RAG & Vector Search 12mo ago

Unlocking Data Insights: A Semantic Search App with MindsDB and Django

Imagine querying your vast, disparate datasets using plain English, getting not just exact matches,...

my rag bot thinks python is a snake

Dev.to · t12s 🔍 RAG & Vector Search 1y ago

my rag bot thinks python is a snake

remember yesterday when i fixed my hallucination problem? woke up to this gem: "python decorators...

detect when langchain hallucinates by mixing contexts

Dev.to · The Prompt Debugger 🔍 RAG & Vector Search 1y ago

detect when langchain hallucinates by mixing contexts

my rag pipeline kept telling customers about features from completely different products. spent weeks...

detect hallucinations in langchain rag pipelines

Dev.to · t12s 🔍 RAG & Vector Search 1y ago

detect hallucinations in langchain rag pipelines

okay so you're building a rag pipeline with langchain and your ai keeps making stuff up. been there....

Tools to Detect & Reduce Hallucinations in a LangChain RAG Pipeline in Production

Dev.to · Practical Developer 🔍 RAG & Vector Search 1y ago

Tools to Detect & Reduce Hallucinations in a LangChain RAG Pipeline in Production

TL;DR Traceloop auto-instruments your LangChain RAG pipeline, exports spans via OpenTelemetry, and...

RAG na prática: transformando PDFs em respostas inteligentes com LLMs

Dev.to · Wesley de Morais 🔍 RAG & Vector Search 1y ago

RAG na prática: transformando PDFs em respostas inteligentes com LLMs

Sumário Entendendo o que são Embeddings Entendendo o que são Vector Store Fluxo de uma...

Python RAG API Tutorial with LangChain & FastAPI – Complete Guide

Dev.to · Vitalii Honchar 🔍 RAG & Vector Search 1y ago

Python RAG API Tutorial with LangChain & FastAPI – Complete Guide

A step-by-step guide to building a Retrieval-Augmented Generation (RAG) API using Python, LangChain, FastAPI, and pgvector — with architecture diagrams and work

🧠 Day 6: Demystifying LangChain Embeddings and Vector Stores — A Chai Tapri Story ☕

Dev.to · Utkarsh Rastogi 🔍 RAG & Vector Search 1y ago

🧠 Day 6: Demystifying LangChain Embeddings and Vector Stores — A Chai Tapri Story ☕

Welcome to Day 6 of my LangChain series! Today, let’s dive into the heart of modern AI-powered...

How We Integrate AI in epilot - Chapter 2: Serverless RAG w/ LangChain & Weaviate

Dev.to · Kerem Nalbant 🔍 RAG & Vector Search 1y ago

How We Integrate AI in epilot - Chapter 2: Serverless RAG w/ LangChain & Weaviate

Introduction In the previous chapter, I shared how we began our AI journey at epilot by...

Add 🤖 AI‑Powered Similar Posts 🔍 to Your Astro Blog — Here’s How

Dev.to · logarithmicspirals 🔍 RAG & Vector Search 1y ago

Add 🤖 AI‑Powered Similar Posts 🔍 to Your Astro Blog — Here’s How

Learn how to enhance your Astro blog with intelligent “Similar Posts” using cosine similarity and embeddings. A static-friendly, semantic approach to content di

Spring AI and MongoDB: How to Build RAG Applications

Dev.to · Tim Kelly 🔍 RAG & Vector Search 1y ago

Spring AI and MongoDB: How to Build RAG Applications

Co-authored with Josh Long, Spring Developer Advocate on the Spring team and Youtuber at...

RAG+RAGAS+LangChain+FAISS+OpenAI

Dev.to · Kunaal Thanik 🔍 RAG & Vector Search 1y ago

RAG+RAGAS+LangChain+FAISS+OpenAI

RAG (Retrieval-Augmented Generation) Workflow Import Required Libraries This...

RAG - Retrieval-Augmented Generation, Making AI Smarter!

Dev.to · Jay Pawar 🔍 RAG & Vector Search 1y ago

RAG - Retrieval-Augmented Generation, Making AI Smarter!

Imagine asking a super-smart assistant a question, and instead of guessing, it quickly checks a...

A Developer’s Guide to Retrieval Augmented Generation (RAG) — How It Actually Works

Dev.to · Zestminds Technologies 🔍 RAG & Vector Search 1y ago

A Developer’s Guide to Retrieval Augmented Generation (RAG) — How It Actually Works

If you're building AI applications and concerned about outdated knowledge in your models, Retrieval...

AutoRAGLearnings: Hands-On RAG Pipeline Tuning with Greedy Search

Dev.to · Jiggy 🔍 RAG & Vector Search 1y ago

AutoRAGLearnings: Hands-On RAG Pipeline Tuning with Greedy Search

If you’ve ever spent hours tweaking a Retrieval-Augmented Generation (RAG) pipeline—wondering whether...

RAG for a beginner by ChatGPT

Dev.to · Ahamed Musthafa R S (amrs-tech) 🔍 RAG & Vector Search 1y ago

RAG for a beginner by ChatGPT

RAG is Retrieval Augmented Generation. It is an AI-technique that uses an integrated knowledge base...

Vector embeddings made easy with Go, Azure Cosmos DB, and OpenAI

Dev.to · Abhishek Gupta 🔍 RAG & Vector Search 1y ago

Vector embeddings made easy with Go, Azure Cosmos DB, and OpenAI

When working on applications that need vector/semantic/similarity search, it's often useful to have a...

Graph RAG의 모든 것

Dev.to · Jonas Kim 🔍 RAG & Vector Search 1y ago

Graph RAG의 모든 것

Graph RAG의 사전지식부터 이론과 구현 상세를 체계적으로 탐구합니다. 1. Graph RAG 정의와 장점 Graph RAG는 기존 검색 증강...

Building a RAG with Docling and LangChain

Dev.to · Alain Airom (Ayrom) 🔍 RAG & Vector Search 1y ago

Building a RAG with Docling and LangChain

Hands-on experience building a RAG with Docling and LangChain. Introduction This...

Semantic search alone won't solve relational queries in your LLM retrieval pipeline.

Dev.to · Dan Shalev 🔍 RAG & Vector Search 1y ago

Semantic search alone won't solve relational queries in your LLM retrieval pipeline.

We’ve examined and built multiple RAG systems, and here's the hard truth: semantic search alone fails...

Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

Dev.to · Manjunath 🔍 RAG & Vector Search 1y ago

Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

Learn how to build a smart, queryable knowledge base using vector search and embeddings with LangChain and FAISS. This detailed guide walks you step-by-step thr

How to Build a RAG Chatbot with LangChain, Milvus, Together AI Mixtral 8x7B Instruct v0.1, and OpenAI text-embedding-3-large

Dev.to · Chloe Williams 🔍 RAG & Vector Search 1y ago

How to Build a RAG Chatbot with LangChain, Milvus, Together AI Mixtral 8x7B Instruct v0.1, and OpenAI text-embedding-3-large

Introduction to RAG Retrieval-Augmented Generation (RAG) is a game-changer for GenAI...

Flask Apps from the Future: Unleash Semantic Search and RAG in 10 Minutes or Less

Dev.to · Level09 🔍 RAG & Vector Search 1y ago

Flask Apps from the Future: Unleash Semantic Search and RAG in 10 Minutes or Less

In the era of AI-powered applications, the ability to search and retrieve information based on...

Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Opus, and OpenAI text-embedding-3-small

Dev.to · Chloe Williams 🔍 RAG & Vector Search 1y ago

Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Opus, and OpenAI text-embedding-3-small

Introduction to RAG Retrieval-Augmented Generation (RAG) is a game-changer for GenAI...

How to Make a RAG Application With LangChain4j

Dev.to · Tim Kelly 🔍 RAG & Vector Search 1y ago

How to Make a RAG Application With LangChain4j

Retrieval-augmented generation, or RAG, introduces some serious capabilities to your large language...

Storing and Querying OpenAI Embeddings in PostgreSQL with pg_vector

Dev.to · Simplr 🔍 RAG & Vector Search 1y ago

Storing and Querying OpenAI Embeddings in PostgreSQL with pg_vector

In this guide, we'll explore how to effectively store, index, and query embeddings generated from...

The Best Way to Chunk Text Data for Generating Embeddings with OpenAI Models

Dev.to · Simplr 🔍 RAG & Vector Search 1y ago

The Best Way to Chunk Text Data for Generating Embeddings with OpenAI Models

When working with OpenAI's embedding models, such as text-embedding-3-small or text-embedding-3-large...

Building Your First RAG System with Python and OpenAI

Dev.to · Mazyar Yousefiniyae shad 🔍 RAG & Vector Search 1y ago

Building Your First RAG System with Python and OpenAI

Hey there! 👋 Are you interested in building your own RAG (Retrieval Augmented Generation) system? In...

GenAI: Building RAG Systems with LangChain

Dev.to · Ajmal Hasan 🔍 RAG & Vector Search 1y ago

GenAI: Building RAG Systems with LangChain

In the age of Generative AI, Retrieval-Augmented Generation (RAG) has emerged as a powerful approach...

Building a Semantic Search Engine with OpenAI, Go, and PostgreSQL (pgvector)

Dev.to · Daniel Puig Gerarde 🔍 RAG & Vector Search 1y ago

Building a Semantic Search Engine with OpenAI, Go, and PostgreSQL (pgvector)

In recent years, vector embeddings have become the foundation of modern Natural Language Processing...

OpenAI vs. Open-source: Embedding Model Showdown

Dev.to · Team Tiger Data 🔍 RAG & Vector Search 1y ago

OpenAI vs. Open-source: Embedding Model Showdown

🔍 Looking for alternatives to OpenAI's embedding models? In this hands-on technical deep...

Embedding vs. Referencing - A Strategic Choice!

Dev.to · Piyush Chauhan 🔍 RAG & Vector Search 1y ago

Embedding vs. Referencing - A Strategic Choice!

🔍 MongoDB Data Modeling: Embedding vs. Referencing - A...

🔍 MongoDB Data Modeling: Embedding vs. Referencing - A Strategic Choice!

Dev.to · Piyush Chauhan 🔍 RAG & Vector Search 1y ago

🔍 MongoDB Data Modeling: Embedding vs. Referencing - A Strategic Choice!

When designing MongoDB schemas, it's crucial to balance performance and flexibility. Here's a quick...

Roadmap for Gen AI dev in 2025

Dev.to · Taki 🔍 RAG & Vector Search 1y ago

Roadmap for Gen AI dev in 2025

To build a Generative AI (GenAI) application using LangChain, RAG (Retrieval-Augmented Generation),...

How Spring Boot and LangChain4J Enable Powerful Retrieval-Augmented Generation (RAG)

Dev.to · Jonilss 🔍 RAG & Vector Search 1y ago

How Spring Boot and LangChain4J Enable Powerful Retrieval-Augmented Generation (RAG)

Di dunia teknologi AI, Retrieval-Augmented Generation (RAG) adalah salah satu pendekatan terbaru yang...

Why Chunk Text Before Embedding

Dev.to · Taki 🔍 RAG & Vector Search 1y ago

Why Chunk Text Before Embedding

Chunking text properly before embedding is essential to ensure the best result in embeddings and...

Mongoose Or MongoDb Native Driver for AI project

Dev.to · Taki 🔍 RAG & Vector Search 1y ago

Mongoose Or MongoDb Native Driver for AI project

Choosing between MongoDB native driver and Mongoose for a project and storing vector embeddings, and...

RAG Implementation with LangChain

Dev.to · Bolaji Bolajoko 🔍 RAG & Vector Search 1y ago

RAG Implementation with LangChain

Retrieval Augmented Generation (RAG) is a process where we augment the knowledge of Large Language...