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  1. README.md +2 -0
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@@ -64,6 +64,7 @@ The system follows a multi-stage workflow:
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  The code is organized into several classes and functions:
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  * **`FaissRetriever`:** Loads and interacts with the FAISS index, retrieving relevant documents based on a query.
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  * **`DocSummarizerPipeline`:** Summarizes retrieved documents using the Gemini model, generating a concise answer focused on the user's query. It uses a carefully crafted prompt to ensure the response is structured and informative.
@@ -299,3 +300,4 @@ Rajarshi Roy - [[email protected]](mailto:[email protected])
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  This project is licensed under the MIT License. Feel free to modify and distribute it as per the terms of the license.
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  I hope this README provides you with the necessary information to get started with the road to Generative AI with Google Gemini and Langchain.
 
 
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  The code is organized into several classes and functions:
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+ * **`DocumentRetriever`:** Loads and interacts with the FAISS index, retrieving relevant documents based on a query.
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  * **`FaissRetriever`:** Loads and interacts with the FAISS index, retrieving relevant documents based on a query.
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  * **`DocSummarizerPipeline`:** Summarizes retrieved documents using the Gemini model, generating a concise answer focused on the user's query. It uses a carefully crafted prompt to ensure the response is structured and informative.
 
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  This project is licensed under the MIT License. Feel free to modify and distribute it as per the terms of the license.
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  I hope this README provides you with the necessary information to get started with the road to Generative AI with Google Gemini and Langchain.
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