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Update app.py
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app.py
CHANGED
@@ -387,7 +387,7 @@ st.markdown("""
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This application uses a Retrieval-Augmented Generation (RAG) system to answer questions about spirituality based on insights from Indian
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spiritual texts. It searches through a database of texts to find relevant passages and generates answers based on those passages.
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Techical Information (Optional):
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vector representations (using FAISS indices) and a Large Language Model (LLM) that summarizes and presents the findings of the system.
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**Important to note:**
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This application uses a Retrieval-Augmented Generation (RAG) system to answer questions about spirituality based on insights from Indian
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spiritual texts. It searches through a database of texts to find relevant passages and generates answers based on those passages.
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+
Techical Information (Optional): The RAG pipeline is powered by an underlying large embedding model that converts texts into searchable
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vector representations (using FAISS indices) and a Large Language Model (LLM) that summarizes and presents the findings of the system.
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**Important to note:**
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