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.
The Day My Lecture Notes Bot Contradicted Itself

The Day My Lecture Notes Bot Contradicted Itself

Comments 1
4 min read
ADR: Who Owns Scope in a Node.js Multi-Tenant Ask-Docs SaaS?

ADR: Who Owns Scope in a Node.js Multi-Tenant Ask-Docs SaaS?

Comments
7 min read
I Assumed My Retriever Failed at Stage One. The Bigger Failure Was at Stage Three.

I Assumed My Retriever Failed at Stage One. The Bigger Failure Was at Stage Three.

Comments
3 min read
I Built a RAG System That Answers Questions From FHIR Records and Refuses to Guess

I Built a RAG System That Answers Questions From FHIR Records and Refuses to Guess

1
Comments 1
6 min read
Metacognição Multi-Agente e Consenso Causal via PON

Metacognição Multi-Agente e Consenso Causal via PON

1
Comments
4 min read
AI agent codebase semantic RAG: AST for 30% Fewer Hallucinations

AI agent codebase semantic RAG: AST for 30% Fewer Hallucinations

Comments
9 min read
Production RAG at Scale: HMAC Cookies, Workspace Isolation, Hybrid Retrieval, and Citation Validation

Production RAG at Scale: HMAC Cookies, Workspace Isolation, Hybrid Retrieval, and Citation Validation

2
Comments 4
17 min read
The Retrieval Checklist I Wish I'd Had Before Shipping RAG

Shows why 73% of RAG failures happen upstream

The Retrieval Checklist I Wish I'd Had Before Shipping RAG

39
Comments 37
11 min read
RAG Database with VLM as Extractor

RAG Database with VLM as Extractor

Comments
3 min read
Dify vs Custom Development: When Visual AI Workflows Actually Work (and When They Don't)

Dify vs Custom Development: When Visual AI Workflows Actually Work (and When They Don't)

Comments
6 min read
PDF RAG Summarization Runbook: Semantic Search, Embeddings, Rerank, Final Summary

PDF RAG Summarization Runbook: Semantic Search, Embeddings, Rerank, Final Summary

Comments
7 min read
MCP vs RAG: Two AI Buzzwords, Explained Without the Buzzwords

MCP vs RAG: Two AI Buzzwords, Explained Without the Buzzwords

1
Comments
4 min read
How AI Crawlers Read Your Website: Preparing Content for LLMs

How AI Crawlers Read Your Website: Preparing Content for LLMs

1
Comments
2 min read
Where to cut a prompt so the cache actually hits

Where to cut a prompt so the cache actually hits

Comments
4 min read
Multi-hop questions break vector search. Here is a graph layer for Qdrant that fixes them.

Multi-hop questions break vector search. Here is a graph layer for Qdrant that fixes them.

Comments
3 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.