americanthinker/rag-applications
RAG applications repo for Uplimit course
This project helps experienced Python developers and search engine professionals learn to build advanced Retrieval Augmented Generation (RAG) applications. It takes raw text data, processes it, embeds it, and then uses a large language model (LLM) to answer questions based on the retrieved information, outputting a complete, demo-ready RAG system with a user interface. This is for developers or engineers who want to integrate sophisticated search and AI-driven question answering into their systems.
No commits in the last 6 months.
Use this if you are a Python developer with experience in search engines and want to learn how to architect and implement a full RAG application.
Not ideal if you are looking for a plug-and-play RAG solution to use directly, or if you do not have strong Python coding and search engine experience.
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Last pushed
Jul 20, 2025
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