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.
Plexus: A WiFi Graph RAG for Network Troubleshooting

Plexus: A WiFi Graph RAG for Network Troubleshooting

Comments
9 min read
72% -> 75% -> 92%: a reproducible RAG validation

72% -> 75% -> 92%: a reproducible RAG validation

Comments 3
12 min read
My RAG app confidently told my client the wrong answer. I spent 3 days debugging the wrong thing.

My RAG app confidently told my client the wrong answer. I spent 3 days debugging the wrong thing.

3
Comments
4 min read
Why output-stage PII masking is the wrong protective surface for data exfiltration in RAG

Why output-stage PII masking is the wrong protective surface for data exfiltration in RAG

Comments 2
8 min read
TinySearch: Let Small Local LLMs Search the Web Without Burning Context

TinySearch: Let Small Local LLMs Search the Web Without Burning Context

1
Comments 1
5 min read
Everyone’s Building AI Agents. Here’s the One I Built for Myself

Everyone’s Building AI Agents. Here’s the One I Built for Myself

2
Comments 1
2 min read
Version 1 Demo: Healthcare AI Microservices Prototype + Roadmap for Version 2 🚀

Version 1 Demo: Healthcare AI Microservices Prototype + Roadmap for Version 2 🚀

1
Comments
1 min read
đź“„Paper: RORA-VLM: Robust Retrieval Augmentation for Vision Language Models

đź“„Paper: RORA-VLM: Robust Retrieval Augmentation for Vision Language Models

5
Comments
1 min read
LLM Wiki vs RAG: a different approach to team-chat memory

LLM Wiki vs RAG: a different approach to team-chat memory

1
Comments
8 min read
Beyond Autocomplete: How AI Editors Actually Understand Your Codebase

Beyond Autocomplete: How AI Editors Actually Understand Your Codebase

1
Comments
8 min read
The Real Work in Graph RAG Is Not Extraction

The Real Work in Graph RAG Is Not Extraction

Comments
3 min read
I made an Epstein Files RAG

I made an Epstein Files RAG

2
Comments
1 min read
AI Coding Agents Search Like It's 2009. Provenant Cuts Tokens by 65x.

AI Coding Agents Search Like It's 2009. Provenant Cuts Tokens by 65x.

3
Comments 2
6 min read
Building a RAG Knowledge Base on MongoDB Atlas

Building a RAG Knowledge Base on MongoDB Atlas

1
Comments 1
12 min read
2026 AI Engineer Interview Guide: RAG, LLMs, and Vector Databases

2026 AI Engineer Interview Guide: RAG, LLMs, and Vector Databases

3
Comments
6 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.