← Back
Towards Data Science

RAG Isn't an Agent — I Built the Layer Between Retrieval and Action

•
#rag
✦TL;DR

The author demonstrates that Retrieval-Augmented Generation (RAG) and agent systems are distinct by building an explicit intermediary layer that connects a retrieval module to an action module. They evaluated this architecture on nine benchmark tasks, running each through a pure RAG pipeline, a pure agent pipeline, and the combined system to compare performance

Want the full story? Read the original article.

Read on Towards Data Science ↗

More like this

RAG vs. Fine-Tuning for Domain Adaptation: When to Use Which

Machine Learning Mastery•#rag

Build And Understand a Vector Database From Scratch in 10 Easy Steps

Machine Learning Mastery•#rag

EXPLORE AI NEWS

Daily hand-picked stories on LLMs, RAG, agents and production AI — curated for engineers who ship.

BROWSE NEWS

GET THE WEEKLY DIGEST

Join engineers getting the Monday signal-over-noise AI breakdown. No spam, unsubscribe anytime.

LEARN AI ENGINEERING

Curated courses, research papers, repos and tutorials built for engineers leveling up in AI.

START LEARNING