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Build your own personalized Fitness RAG Agent using Python!
Latest   Machine Learning

Build your own personalized Fitness RAG Agent using Python!

Last Updated on January 14, 2025 by Editorial Team

Author(s): Krishan Walia

Originally published on Towards AI.

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Whether you are a developer or an athlete, fitness has always been at the top of our New Year's resolutions list.

Losing this much weight, gaining so and so muscle mass, and etc. In this ever-raging lifestyle, keeping up with our body’s fitness requirements is becoming more tough.

And something, that can help in at least some of the endeavours of your being fit journey, is a personalized Fitness Agent, someone who is an expert in the domain and is always there for you, also is as vigilant on your health as you.

By the end of this article, you’ll have a Fitness RAG Agent built using Python. The creation of a Retrieval Augmented Generation (RAG) Agent is very thoughtful as it would help us combine the power of both information retrieval and text generation to deliver accurate, personalized, context-aware answers to all your queries.

Excited? Let’s get the keyboard tapping!

Photo by Anastase Maragos on Unsplash

Here’s the TOC of the whole article, for your quick perusal.

∘ AI Agent | RAG Agent | Python | DSPy | Fitness Agent | Beginner-FriendlyΒ· Prerequisites 🔮Β· Installing the… Read the full blog for free on Medium.

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