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  # Retrieval Augmented Generation with Large Language Models
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  This project serves as a Proof-of-Concept for implementing Retrieval Augmented Generation (RAG) when prompting Large Language Models (LLMs). It is a learning exercise aimed at enabling future LLM-based applications by leveraging the power of RAG techniques.
 
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  # Retrieval Augmented Generation with Large Language Models
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+ title: POC_E2J_Commentary
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+ emoji: 😻
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+ colorFrom: red
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+ colorTo: indigo
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+ sdk: docker
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+ sdk_version: 3.40.1
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+ app_port: 7860
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+ suggested_storage: large
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+ app_file: app.py
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+ pinned: false
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+ startup_duration_timeout: 15 minutes
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  This project serves as a Proof-of-Concept for implementing Retrieval Augmented Generation (RAG) when prompting Large Language Models (LLMs). It is a learning exercise aimed at enabling future LLM-based applications by leveraging the power of RAG techniques.