DEV Community

# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

Posts

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Knowledge base in AI: why Q&A websites are a unique training asset

Knowledge base in AI: why Q&A websites are a unique training asset

Comments
4 min read
Building Production RAG Systems in Days, Not Weeks: Introducing ShinRAG

Building Production RAG Systems in Days, Not Weeks: Introducing ShinRAG

Comments
4 min read
Building a 95% Precision Offline

Building a 95% Precision Offline

Comments
6 min read
From Static Docs to Living Knowledge: Building an STS‑Aware Retrieval‑Augmented Agent Backend

From Static Docs to Living Knowledge: Building an STS‑Aware Retrieval‑Augmented Agent Backend

Comments
4 min read
Flow Analysis for Voice Agents: Turning Debugging into an Engineering Task

Flow Analysis for Voice Agents: Turning Debugging into an Engineering Task

Comments
1 min read
Low-Cost RAG API Using AWS Lambda & Bedrock

Low-Cost RAG API Using AWS Lambda & Bedrock

Comments
4 min read
Can eval setup be automatically scaffolded?

Can eval setup be automatically scaffolded?

1
Comments 2
3 min read
Understanding the logic behind 'Chat with PDF' apps by building a Retrieval-Augmented Generation agent manually.

Understanding the logic behind 'Chat with PDF' apps by building a Retrieval-Augmented Generation agent manually.

1
Comments
1 min read
Stop Grepping Your Monorepo: Real-Time Codebase Indexing with CocoIndex

Stop Grepping Your Monorepo: Real-Time Codebase Indexing with CocoIndex

5
Comments
5 min read
A-Modular-Kingdom - The Infrastructure Layer AI Agents Deserve

A-Modular-Kingdom - The Infrastructure Layer AI Agents Deserve

5
Comments
4 min read
De RAG tradicional a Agentic RAG

De RAG tradicional a Agentic RAG

3
Comments
3 min read
🚀 How I Created an AI-Powered Secret Santa Using Cognee as the Memory Layer

🚀 How I Created an AI-Powered Secret Santa Using Cognee as the Memory Layer

9
Comments 4
5 min read
How to give Claude "Long Term Memory" of your local files (No Docker required)

How to give Claude "Long Term Memory" of your local files (No Docker required)

1
Comments
3 min read
RAG Evaluation Metrics: Measuring What Actually Matters

RAG Evaluation Metrics: Measuring What Actually Matters

1
Comments
10 min read
LLM Mastery: Skip the Math, Focus on RAG (2026 Roadmap)

LLM Mastery: Skip the Math, Focus on RAG (2026 Roadmap)

1
Comments
7 min read
Building a Side Project with ADHD: ChatGPT Gaslighting, r/ADHD Bans, and Why I Needed a Friend

Building a Side Project with ADHD: ChatGPT Gaslighting, r/ADHD Bans, and Why I Needed a Friend

Comments
6 min read
Zero-Friction AI Dev: Build and Deploy Chatbots with a Single Docker Compose File

Zero-Friction AI Dev: Build and Deploy Chatbots with a Single Docker Compose File

1
Comments
9 min read
From RAG to RAO Level 6: How I Evolved Tiramisu Framework into a Multi-Agent System

From RAG to RAO Level 6: How I Evolved Tiramisu Framework into a Multi-Agent System

Comments 1
8 min read
Rethinking My Deep-Research Agent Workflow — Should We Move Beyond Static Trees?

Rethinking My Deep-Research Agent Workflow — Should We Move Beyond Static Trees?

Comments
1 min read
The Complete Developer’s Guide to GraphRAG, LightRAG, and AgenticRAG

The Complete Developer’s Guide to GraphRAG, LightRAG, and AgenticRAG

Comments
4 min read
TrueFoundry vs Bifrost: Why We Chose Specialization Over an All-in-One MLOps Platform

TrueFoundry vs Bifrost: Why We Chose Specialization Over an All-in-One MLOps Platform

6
Comments
5 min read
Complete Toolkit for LLM Development

Complete Toolkit for LLM Development

1
Comments
2 min read
Prompt Systems > Prompt Engineering: The Enterprise Shift in 2026

Prompt Systems > Prompt Engineering: The Enterprise Shift in 2026

Comments
4 min read
Lessons Learned Deploying LLMs in Regulated Enterprise Environments

Lessons Learned Deploying LLMs in Regulated Enterprise Environments

Comments
4 min read
Knowledge Graphs + LLM Integration: Query Your Ontology with Natural Language

Knowledge Graphs + LLM Integration: Query Your Ontology with Natural Language

Comments
4 min read
loading...