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.
Node.js Candidate Retrieval: Three Tenant-Isolation Gates for Game Hiring

Node.js Candidate Retrieval: Three Tenant-Isolation Gates for Game Hiring

Comments
6 min read
PDF Knowledge Retrieval Under Latency Budgets — An Architecture Decision Record

PDF Knowledge Retrieval Under Latency Budgets — An Architecture Decision Record

Comments
5 min read
Recruiting Candidate Search Source Deduplication — A 3-Stage Node.js Retrieval Design

Recruiting Candidate Search Source Deduplication — A 3-Stage Node.js Retrieval Design

Comments
5 min read
Financial Research Dashboard Retrieval: Privacy Controls and Freshness Explained

Financial Research Dashboard Retrieval: Privacy Controls and Freshness Explained

Comments
5 min read
Travel Itinerary Retrieval Architecture: Versioning for Grounded Citations

Travel Itinerary Retrieval Architecture: Versioning for Grounded Citations

Comments
5 min read
The Best Way to Structure Data for AI Agents

The Best Way to Structure Data for AI Agents

1
Comments
10 min read
pg_vectorsearch Claims 6 ms at 100M Vectors. Filtered Queries Can Come Back Short

pg_vectorsearch Claims 6 ms at 100M Vectors. Filtered Queries Can Come Back Short

Comments 1
7 min read
Code Search RAG: Chunk by Function With tree-sitter, Not by 512 Tokens

Code Search RAG: Chunk by Function With tree-sitter, Not by 512 Tokens

Comments
12 min read
Get YouTube transcripts for every new upload from the channels you follow (for RAG, summaries and research)

Get YouTube transcripts for every new upload from the channels you follow (for RAG, summaries and research)

Comments
3 min read
The Answer Was in the Middle of the Context and the Model Walked Past It

The Answer Was in the Middle of the Context and the Model Walked Past It

Comments
2 min read
Designing RAG for Lawyers: Refusal Is a Feature

Designing RAG for Lawyers: Refusal Is a Feature

Comments
2 min read
RAG for Business Knowledge Bases: What Works in 2026

RAG for Business Knowledge Bases: What Works in 2026

Comments
7 min read
Evaluating AI-Powered RAG Systems: Beyond Just Correct Answers

Evaluating AI-Powered RAG Systems: Beyond Just Correct Answers

Comments
2 min read
Your AI can give a wrong answer confidently. 🤖

Your AI can give a wrong answer confidently. 🤖

Comments
1 min read
Build a Self-Refreshing Company Handbook Assistant with TypeScript

Build a Self-Refreshing Company Handbook Assistant with TypeScript

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