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README.md
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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.
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@@ -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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