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README.md
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sdk_version: 5.29.0
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app_file: app.py
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pinned: false
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---
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sdk_version: 5.29.0
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app_file: app.py
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pinned: false
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license: mit
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---
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<h1>📚 RAG Chatbot for PDF Files<h1>
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<h2>Overview</h2>
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This project implements a Retrieval-Augmented Generation (RAG) chatbot using Gradio and LangChain. The chatbot can:
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<ol>
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<li>Upload and process PDF files.</li>
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<li>Embed PDF contents as vector representations.</li>
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<li>Answer questions based on the embedded PDF contents.</li>
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</ol>
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<h2>Features</h2>
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<ul>
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<li>PDF Upload and Embedding: Uses OpenAI embeddings with FAISS to store vector representations.</li>
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<li>Conversational Interface: Uses Gradio's Chatbot component to interact with users.</li>
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<li>Persistent Memory: Remembers chat history during the session.</li>
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<li>API Integration: Utilizes OpenAI's GPT-4o-mini model for answering questions.</li>
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</ul>
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