#rag

Frieda reads Confluence, Slack and ten repositories, reviews every pull request and never answers without a source. How she is built — and where we deliberately stopped.

The Vector Database Trap: Why RAG Isn't Always the Answer In the current gold rush of...

I kept hitting the same wall: I have a folder of PDFs, Word files and spreadsheets, and I want them...

In the comparison articles (part 1 and part 2) I put my own RAG against five other systems. The...

“Data-driven decision making.” Cool. Now go find the data. 😐 That was one of the reasons I started...

I've been building CollabFlow, an open-source full-stack collaboration platform that combines project...

You can spin up a fully-featured chatbot that fields common support tickets and nudges customers...

Traditional RAG is what every "ChatGPT for your docs" tutorial builds: embed the question, fetch...

A few months ago, I started building a Retrieval-Augmented Generation application because I wanted to...

A post by Torgeir

1M tokens, $0.30/M input. When does dumping everything into context beat building a retrieval pipeline — and when does it quietly fail?

A hands on guide with code, configs, and patterns you can actually implement If you have a...