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.
Breaking the Cloud Lock-In: Complete OVHcloud Automation via Crossplane Provider OVH 2.17.0

Breaking the Cloud Lock-In: Complete OVHcloud Automation via Crossplane Provider OVH 2.17.0

Comments
4 min read
Collecting knowledge fails because of people. So we built an AI colleague.

Collecting knowledge fails because of people. So we built an AI colleague.

1
Comments
8 min read
What Is RAG? Retrieval-Augmented Generation Explained

What Is RAG? Retrieval-Augmented Generation Explained

Comments
3 min read
LLM Wiki's Two-Step Chain-of-Thought Ingest: How Incremental Cache and Source Traceability Replace Traditional RAG

LLM Wiki's Two-Step Chain-of-Thought Ingest: How Incremental Cache and Source Traceability Replace Traditional RAG

1
Comments
6 min read
I built a Mac app that turns document folders into RAG-ready Markdown — locally

I built a Mac app that turns document folders into RAG-ready Markdown — locally

Comments
3 min read
I Built a RAG AI Assistant That Runs in the Browser with WebGPU

I Built a RAG AI Assistant That Runs in the Browser with WebGPU

7
Comments 4
4 min read
I Tested Amazon S3 Vectors' New Pre-Filtering Against Exact Ground Truth

I Tested Amazon S3 Vectors' New Pre-Filtering Against Exact Ground Truth

2
Comments 6
15 min read
How to Build a Company Data Crawler in Python

How to Build a Company Data Crawler in Python

Comments
1 min read
Why does my vector DB retrieval keep returning duplicate noise for my chat agent, and how to fix it?

Why does my vector DB retrieval keep returning duplicate noise for my chat agent, and how to fix it?

1
Comments 3
7 min read
I Built CollabFlow: A Real-Time Collaboration Platform with AI-Powered Document Search

I Built CollabFlow: A Real-Time Collaboration Platform with AI-Powered Document Search

1
Comments
2 min read
How to Build an AI Customer Support Chatbot (and Make It Upsell)

How to Build an AI Customer Support Chatbot (and Make It Upsell)

Comments
7 min read
Agentic RAG vs Traditional RAG in .NET (2026) — When Each Wins, Semantic Kernel Code, Production Metrics

Agentic RAG vs Traditional RAG in .NET (2026) — When Each Wins, Semantic Kernel Code, Production Metrics

Comments
4 min read
I Tried to Learn RAG and Got Stuck on API Costs. Turns Out My CPU Could Do the Expensive Bit.

I Tried to Learn RAG and Got Stuck on API Costs. Turns Out My CPU Could Do the Expensive Bit.

Comments
6 min read
Cheaper Graphs, Bigger Risks: GraphRAG's Efficiency Push Meets Its First Security Scare

Cheaper Graphs, Bigger Risks: GraphRAG's Efficiency Push Meets Its First Security Scare

1
Comments 10
9 min read
A RAG chatbot on your company knowledge base: what it is and when it pays off

A RAG chatbot on your company knowledge base: what it is and when it pays off

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