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

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
Vectorizing Your Vitals: Converting 10GB of Apple Health Data into a Personal RAG Brain

Vectorizing Your Vitals: Converting 10GB of Apple Health Data into a Personal RAG Brain

1
Comments 1
4 min read
Building a Tri-Modal Knowledge Engine for CTF Agents

Building a Tri-Modal Knowledge Engine for CTF Agents

1
Comments
7 min read
🤖From Retrieval to Reasoning: The Rise of Agentic RAG in Enterprise Workflows

🤖From Retrieval to Reasoning: The Rise of Agentic RAG in Enterprise Workflows

1
Comments
5 min read
I got tired of writing 30 lines of LangChain boilerplate every time. So I published a fix.

I got tired of writing 30 lines of LangChain boilerplate every time. So I published a fix.

1
Comments 2
4 min read
Build Your Own AI Ops Assistant — Part 3: The AI Brain

Build Your Own AI Ops Assistant — Part 3: The AI Brain

2
Comments
12 min read
How LLM Memory Actually Works in Production Systems

How LLM Memory Actually Works in Production Systems

Comments
4 min read
I Built a RAG Bot to Fix Flaky Cypress Tests

I Built a RAG Bot to Fix Flaky Cypress Tests

Comments
4 min read
What Is LLM Grounding? A Developer's Guide

What Is LLM Grounding? A Developer's Guide

Comments
6 min read
RAG Research: Bridging the Gap Between LLMs and Knowledge

RAG Research: Bridging the Gap Between LLMs and Knowledge

Comments
3 min read
Zero-Downtime Embedding Migration: Switching from text-embedding-004 to text-embedding-3-large in Production

Zero-Downtime Embedding Migration: Switching from text-embedding-004 to text-embedding-3-large in Production

Comments
3 min read
Hybrid RAG System over SEC Filings

Hybrid RAG System over SEC Filings

Comments
19 min read
RAG Architecture Patterns in .NET: From Naive to Production-Grade

RAG Architecture Patterns in .NET: From Naive to Production-Grade

3
Comments
12 min read
Beyond SEO: Generative Engine Optimization (GEO). How to Implement `llms.txt` and RAG-Friendly Markup

Beyond SEO: Generative Engine Optimization (GEO). How to Implement `llms.txt` and RAG-Friendly Markup

1
Comments 2
5 min read
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Comments
4 min read
RAG Architecture: Building AI Apps That Know Your Data" platform

RAG Architecture: Building AI Apps That Know Your Data" platform

2
Comments
10 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.