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.
A Folder of Docs Is Not a Knowledge Base

A Folder of Docs Is Not a Knowledge Base

1
Comments 2
8 min read
Parsing documents for air-gapped RAG: no cloud, no JVM, no Python

Parsing documents for air-gapped RAG: no cloud, no JVM, no Python

Comments 4
5 min read
AI Fundamentals - Part 3: Giving AI Knowledge Beyond Its Training

AI Fundamentals - Part 3: Giving AI Knowledge Beyond Its Training

Comments
9 min read
RAGFlow + MCP: Turning Your Best RAG Config Into a Production Assistant

RAGFlow + MCP: Turning Your Best RAG Config Into a Production Assistant

1
Comments
2 min read
Prompt Engineering vs Fine-Tuning: When Should You Use Each?

Prompt Engineering vs Fine-Tuning: When Should You Use Each?

1
Comments 1
4 min read
AI Agents & Workflows: Local Deployment, Label Orchestration, Cloud Enablement

AI Agents & Workflows: Local Deployment, Label Orchestration, Cloud Enablement

1
Comments
3 min read
Personal Context vs. Shared Context: A Deep Dive Into How Humans and Organizations Should Feed Their AI Agents

Personal Context vs. Shared Context: A Deep Dive Into How Humans and Organizations Should Feed Their AI Agents

1
Comments
22 min read
Azure AI Search in 2026, how to build a RAG pipeline

Azure AI Search in 2026, how to build a RAG pipeline

Comments
7 min read
RAG Over Insurance Policy Documents: What Works and What Quietly Breaks

RAG Over Insurance Policy Documents: What Works and What Quietly Breaks

Comments
3 min read
If You're Still Learning Generative AI, Read This First

If You're Still Learning Generative AI, Read This First

Comments
6 min read
What Actually Matters When You're Hunting a Generative AI Job

What Actually Matters When You're Hunting a Generative AI Job

1
Comments 1
7 min read
Part 1-3: From Raw Health Text to a Working Retrieval Pipeline

Part 1-3: From Raw Health Text to a Working Retrieval Pipeline

Comments 3
3 min read
Debugging a Python "Memory Leak" That Was Actually a Measurement Bug (ru_maxrss vs VmRSS)

Debugging a Python "Memory Leak" That Was Actually a Measurement Bug (ru_maxrss vs VmRSS)

Comments
4 min read
Evaluation-Driven Development for RAG Systems: Building the Feedback Loop That Makes AI Actually Improve

Evaluation-Driven Development for RAG Systems: Building the Feedback Loop That Makes AI Actually Improve

Comments
6 min read
Three Things That Broke in Our AI Deployment That Nobody Warned Us About

Three Things That Broke in Our AI Deployment That Nobody Warned Us About

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