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.
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
My PDF converter returned an empty Markdown for a 200-page prospectus — the text was in a layer I couldn't see

My PDF converter returned an empty Markdown for a 200-page prospectus — the text was in a layer I couldn't see

Comments
2 min read
Your RAG answer changed. Which step changed it?

Your RAG answer changed. Which step changed it?

Comments
6 min read
Best Databricks AI Data Preparation Tools: Mosaic AI Vector Search & Data Quality Solutions Compared

Best Databricks AI Data Preparation Tools: Mosaic AI Vector Search & Data Quality Solutions Compared

Comments
10 min read
Real-Estate Listing Retrieval with Node.js: Tracing Citations Without Latency Surprises

Real-Estate Listing Retrieval with Node.js: Tracing Citations Without Latency Surprises

Comments
6 min read
5 Fallbacks for Retrieval Architecture in Recruiting Candidate Search Systems

5 Fallbacks for Retrieval Architecture in Recruiting Candidate Search Systems

Comments
6 min read
I got tired of piecing together local RAG stacks, so I built a 100% offline Enterprise RAG Boilerplate (Ollama + FastAPI + LangChain + React)

I got tired of piecing together local RAG stacks, so I built a 100% offline Enterprise RAG Boilerplate (Ollama + FastAPI + LangChain + React)

Comments
2 min read
Chunking for Qdrant in .NET Before It Becomes a Quality Problem

Chunking for Qdrant in .NET Before It Becomes a Quality Problem

Comments
12 min read
RAG Explained: How AI Answers Questions Using Your Own Data

RAG Explained: How AI Answers Questions Using Your Own Data

Comments
10 min read
My URL-to-Markdown converter turned a paywalled article into free text — and I had to decide if that was a bug

My URL-to-Markdown converter turned a paywalled article into free text — and I had to decide if that was a bug

Comments
2 min read
What Is RAG? A Working Retrieval Example You Can Run With Just an Anthropic Key

What Is RAG? A Working Retrieval Example You Can Run With Just an Anthropic Key

Comments
4 min read
Running RAG with a (small) language model in the browser

Running RAG with a (small) language model in the browser

Comments
9 min read
Your Retriever Found the Paragraph and Lost the Heading Above It

Your Retriever Found the Paragraph and Lost the Heading Above It

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