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.
Top Data APIs for Building RAG Pipelines That Need Real-World Coverage

Top Data APIs for Building RAG Pipelines That Need Real-World Coverage

Comments
6 min read
Why Your RAG System Needs Hybrid Search (And How to Actually Implement It)

Why Your RAG System Needs Hybrid Search (And How to Actually Implement It)

Comments 1
3 min read
Structured Output in LangChain

Structured Output in LangChain

5
Comments 1
5 min read
Next.js 16 RAG Pipeline Optimization: Give Your AI a Perfect Memory

Next.js 16 RAG Pipeline Optimization: Give Your AI a Perfect Memory

Comments
1 min read
Building a RAG Application from Scratch: A Step-by-Step Guide

Building a RAG Application from Scratch: A Step-by-Step Guide

5
Comments
6 min read
CacheWeaver Reorders RAG Evidence for Prefix-Cache Reuse: Prefix-Cache-Aware Evidence Reordering

CacheWeaver Reorders RAG Evidence for Prefix-Cache Reuse: Prefix-Cache-Aware Evidence Reordering

1
Comments 3
7 min read
Day 8 - Sparse embedding - RAG

Day 8 - Sparse embedding - RAG

Comments
2 min read
Two audits of my own knowledge graph found two unrelated silent failures

Two audits of my own knowledge graph found two unrelated silent failures

Comments 1
4 min read
My RAG system slowly got worse for three months and nobody noticed.

My RAG system slowly got worse for three months and nobody noticed.

Comments
4 min read
My RAG Benchmark is lying to me

My RAG Benchmark is lying to me

1
Comments 1
5 min read
How I Built a RAG System Over more than 100 USCIS Administrative Appeals Office Decisions with Gemini

How I Built a RAG System Over more than 100 USCIS Administrative Appeals Office Decisions with Gemini

Comments 1
8 min read
Stop Asking the LLM Whether Its Source Is Real

Stop Asking the LLM Whether Its Source Is Real

Comments 2
3 min read
The Hidden Problem With Long-Running AI Agents Nobody Talks About

The Hidden Problem With Long-Running AI Agents Nobody Talks About

Comments
3 min read
SWIRL Community 4.5 Update

SWIRL Community 4.5 Update

Comments
1 min read
# Arquitetando RAG Multi-Agente em Produção na AWS — Do Conceito à Operação

# Arquitetando RAG Multi-Agente em Produção na AWS — Do Conceito à Operação

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