MLOps

MLOps Steps for a RAG-Based Application with Llama 3.2, ChromaDB, and Streamlit

Dr Arun Kumar

Dr Arun Kumar

PhD (Computer Science)

1 min read
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MLOps Steps for a RAG-Based Application with Llama 3.2, ChromaDB, and Streamlit
MLOps Steps for a RAG-Based Application with Llama 3.2, ChromaDB, and Streamlit

MLOps Steps for a RAG-Based Application with Llama 3.2, ChromaDB, and Streamlit

 

This document outlines the essential MLOps steps for developing a Retrieval-Augmented Generation (RAG) application utilizing Llama 3.2, ChromaDB, and Streamlit. The integration of these technologies allows for efficient data retrieval and enhanced generative capabilities, making it suitable for various applications such as chatbots, content generation, and more. The following sections detail the key steps involved in the MLOps lifecycle, from development to deployment and monitoring.

 

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