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.
ur rag can return 200 and still be cooked — how we built Goose on SigNoz

ur rag can return 200 and still be cooked — how we built Goose on SigNoz

Comments
5 min read
Evaluating Amazon Bedrock Knowledge Base RAG using LLM-as-a-Judge

Evaluating Amazon Bedrock Knowledge Base RAG using LLM-as-a-Judge

1
Comments 2
1 min read
AICurt - A Lightweight Python Toolkit for Preparing Text Before AI Processing

AICurt - A Lightweight Python Toolkit for Preparing Text Before AI Processing

Comments
4 min read
How I Built a Portfolio Risk & Return Tracker with EODHD

How I Built a Portfolio Risk & Return Tracker with EODHD

Comments
5 min read
The Watermelon Effect: How My AI Scored 94% in Testing But Only 22.2% in Real Use

The Watermelon Effect: How My AI Scored 94% in Testing But Only 22.2% in Real Use

Comments
6 min read
LLMOps for RAG Systems — Production Checklist

LLMOps for RAG Systems — Production Checklist

2
Comments 1
4 min read
RAG Explained: How to Give Your LLM a Memory It Can Actually Trust

RAG Explained: How to Give Your LLM a Memory It Can Actually Trust

Comments 1
14 min read
RAG Chunking Explained: How to Choose the Right Chunk Size and Strategy

RAG Chunking Explained: How to Choose the Right Chunk Size and Strategy

1
Comments
13 min read
SWE-bench moved 0 points and the model got dramatically better at my job

SWE-bench moved 0 points and the model got dramatically better at my job

Comments
4 min read
Why Agent Memory Is Harder Than RAG (And What To Do About It)

Why Agent Memory Is Harder Than RAG (And What To Do About It)

Comments
6 min read
Building a Production RAG Pipeline: Document Processing, Chunking, and Metadata Design

Building a Production RAG Pipeline: Document Processing, Chunking, and Metadata Design

2
Comments 4
14 min read
🚀 From Transformers to AI Agents: The Complete Engineering Guide to Modern AI Architecture (LLMs, RAG, Vector Databases & Agentic Systems)

🚀 From Transformers to AI Agents: The Complete Engineering Guide to Modern AI Architecture (LLMs, RAG, Vector Databases & Agentic Systems)

2
Comments
4 min read
INTRODUCTION TO RAG (RETRIEVAL AUGMENTED GENERATION)

INTRODUCTION TO RAG (RETRIEVAL AUGMENTED GENERATION)

1
Comments
4 min read
What a RAG Pipeline That Actually Works in Production Looks Like

What a RAG Pipeline That Actually Works in Production Looks Like

Comments
9 min read
8 Best Free Vector Databases for AI Agents in 2026

8 Best Free Vector Databases for AI Agents in 2026

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