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README.md

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-<p align = "center" draggable=”false” ><img src="https://github.com/AI-Maker-Space/LLM-Dev-101/assets/37101144/d1343317-fa2f-41e1-8af1-1dbb18399719" 
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-## <h1 align="center" id="heading">🔍Your First Retrieval Augmented Generation QA Application!</h1>
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-### Steps to Run:
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-1. Create a Python 3.11 environment
-2. `pip install jupyter` so you can run the notebook
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-# Build 🏗️
-Build a Chainlit App that uses this code.
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-# Ship 🚢
-- Deploy your Chainlit App to Hugging Face
-- Make a simple diagram of the RAQA process
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-# Share 🚀
-- Show your App in a loom video and explain the diagram
-- Make a social media post about your final application and tag @AIMakerspace
-- Share 3 lessons learned
-- Share 3 lessons not learned
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-Here's a template to get your post started!
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-```
-🚀 Exciting News! 🎉
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-I just built and shipped my very first Retrieval Augmented Generation QA Application using Chainlit and the OpenAI API! 🤖💼 
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-🔍 Three Key Takeaways:
-1️⃣ The power of combining traditional search methods with state-of-the-art generative models is mind-blowing. 🧠✨
-2️⃣ Collaboration and leveraging community resources like AI Makerspace can greatly accelerate the learning curve. 🌱📈
-3️⃣ Dive deep, keep iterating, and never stop learning. Each project brings a new set of challenges and equally rewarding lessons. 🔄📚
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-A huge shoutout to the @AI Makerspace for their invaluable resources and guidance. 🙌
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-Looking forward to more AI-driven adventures! 🌟 Feel free to connect if you'd like to chat more about it! 🤝
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-#OpenAI #Chainlit #AIPowered #Innovation #TechJourney
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