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.
Progressive Distillation

Progressive Distillation

2
Comments
4 min read
AI for Knowledge Management: Real Workflows That Hold Up

AI for Knowledge Management: Real Workflows That Hold Up

Comments
8 min read
Building a RAG System in Rust with Qdrant, Rig, and gRPC 🦀

Building a RAG System in Rust with Qdrant, Rig, and gRPC 🦀

2
Comments 3
19 min read
Bringing MongoDB Atlas and Voyage AI to Dify: Build RAG Workflows and Data Agents Without Heavy Glue Code

Bringing MongoDB Atlas and Voyage AI to Dify: Build RAG Workflows and Data Agents Without Heavy Glue Code

Comments 2
8 min read
What I Got Wrong Building a RAG Pipeline from Scratch in TypeScript

What I Got Wrong Building a RAG Pipeline from Scratch in TypeScript

2
Comments
9 min read
Cloudflare Boosts AI Agent Governance; Claude Model Choice & Advanced NLP

Cloudflare Boosts AI Agent Governance; Claude Model Choice & Advanced NLP

Comments
3 min read
PolicyMind AI: Intelligent Insurance Document Assistant using Gemma 4

Gemma 4 Challenge: Build With Gemma 4 Submission

PolicyMind AI: Intelligent Insurance Document Assistant using Gemma 4

1
Comments
4 min read
How to stop your RAG assistant from hallucinating (a practical guide)

How to stop your RAG assistant from hallucinating (a practical guide)

Comments 2
3 min read
RAG vs. Fine-Tuning vs. Prompting: 2026 Strategic Guide

RAG vs. Fine-Tuning vs. Prompting: 2026 Strategic Guide

Comments
4 min read
How to Handle Proprietary Jargon in LLM-as-a-Judge Evaluations

How to Handle Proprietary Jargon in LLM-as-a-Judge Evaluations

Comments
4 min read
I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned

Comments 2
6 min read
Part 4: Improving Retrieval Quality with Token-Aware Chunking and HyDE

Part 4: Improving Retrieval Quality with Token-Aware Chunking and HyDE

Comments
4 min read
Governance First RAG

Governance First RAG

Comments
2 min read
Applied AI Workflows: Claude Haiku Database, Code Gen Tips, & Data Pipelines

Applied AI Workflows: Claude Haiku Database, Code Gen Tips, & Data Pipelines

Comments
3 min read
Extract Plain Text from Medium Posts for RAG and Search Indexes

Extract Plain Text from Medium Posts for RAG and Search Indexes

1
Comments
2 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.