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.
I Built a Production RAG System on Azure AKS for $40/Month — Here's Every Decision I Made and Why

I Built a Production RAG System on Azure AKS for $40/Month — Here's Every Decision I Made and Why

4
Comments
10 min read
Vector Databases Explained: Architecture and System Design for AI Apps

Vector Databases Explained: Architecture and System Design for AI Apps

1
Comments
6 min read
Building a RAG System to Stop AI Hallucinations in Amazon Data Analysis

Building a RAG System to Stop AI Hallucinations in Amazon Data Analysis

5
Comments
7 min read
RAG desde cero con Ruby

RAG desde cero con Ruby

1
Comments
8 min read
Building a Production-Ready RAG System with Incremental Indexing

Building a Production-Ready RAG System with Incremental Indexing

4
Comments
6 min read
RAG & Vector Databases - Efficient Retrieval Explained

RAG & Vector Databases - Efficient Retrieval Explained

Comments
2 min read
Memory Palace Part 2: Agentic RAG, Chrome Extension, and Making AI Actually Understand You 🧠✨

Memory Palace Part 2: Agentic RAG, Chrome Extension, and Making AI Actually Understand You 🧠✨

Comments
7 min read
Knowledge Graph RAG: two query patterns for smarter AI agents

Knowledge Graph RAG: two query patterns for smarter AI agents

26
Comments
8 min read
Design Recipe: Observability Pyramid for LLM Infrastructure

Design Recipe: Observability Pyramid for LLM Infrastructure

5
Comments 9
3 min read
Part 4 — Retrieval Is the System

Part 4 — Retrieval Is the System

Comments
1 min read
Running AI on premises with Postgres

Running AI on premises with Postgres

Comments
7 min read
RAG Simplified: The "Open-Book Exam" Architecture 📚🧠

RAG Simplified: The "Open-Book Exam" Architecture 📚🧠

7
Comments
3 min read
Stop Fine-Tuning Everything: Inject Knowledge with Few‑Shot In‑Context Learning

Stop Fine-Tuning Everything: Inject Knowledge with Few‑Shot In‑Context Learning

Comments
16 min read
Agentic College Search

Agentic College Search

2
Comments 2
10 min read
How AWS Vector Databases Empower Semantic Search and AI Applications

How AWS Vector Databases Empower Semantic Search and AI Applications

23
Comments 4
8 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.