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# RAG Implementation Notebook
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This space contains a Jupyter notebook demonstrating a Retrieval Augmented Generation (RAG) implementation using OpenAI's API and Hugging Face models.
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## Features
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- PDF document processing
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- Text chunking and embedding
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- Vector database implementation
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- RAG pipeline with context-aware responses
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## How to Use
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1. Clone this repository
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2. Install the requirements: `pip install -r requirements.txt`
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3. Open the notebook: `jupyter notebook Pythonic_RAG_Assignment.ipynb`
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## Requirements
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See `requirements.txt` for the complete list of dependencies.
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# 🧑💻 What is [AI Engineering](https://maven.com/aimakerspace/ai-eng-bootcamp)?
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# RAG Implementation Notebook
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# 🧑💻 What is [AI Engineering](https://maven.com/aimakerspace/ai-eng-bootcamp)?
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