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# Retrieval Augmented Generation (RAG) # Retrieval Augmented Generation (RAG)
This project demonstrates a simplified RAG system that retrieves relevant documents based on user queries and generates answers using an LLM. This project demonstrates a simplified RAG system that retrieves relevant documents based on user queries and generates answers using an LLM. This implementation is based directly on the tutorial: [Retrieval Augmented Generation (RAG) from Scratch — Tutorial For Dummies](https://zacharyhuang.substack.com/p/retrieval-augmented-generation-rag).
## Features ## Features
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🤖 Generated Answer: 🤖 Generated Answer:
To install PocketFlow, use the command `pip install pocketflow` or simply copy its 100 lines of source code. To install PocketFlow, use the command `pip install pocketflow` or simply copy its 100 lines of source code.
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