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- # Welcome to Chainlit! πŸš€πŸ€–
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- Hi there, Developer! πŸ‘‹ We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
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- ## Useful Links πŸ”—
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- - **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) πŸ“š
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- - **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/k73SQ3FyUh) to ask questions, share your projects, and connect with other developers! πŸ’¬
 
 
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- We can't wait to see what you create with Chainlit! Happy coding! πŸ’»πŸ˜Š
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-
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- ## Welcome screen
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- To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.
 
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+ # Welcome to Ask AI Makerspace! πŸš€πŸ€–
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+ Your interactive guide to the AI Makerspace YouTube channel as they guide us through various AI concepts, industry trends, career advice, and hands-on tutorials.
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+ ### I'm a Retrieval Augmented Question Answer (RAQA) application built with:
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+ - [Chainlit](https://docs.chainlit.io/get-started/overview) Front end
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+ - [Langchain](https://python.langchain.com/docs/get_started/introduction) Framework
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+ - [Pinecone](https://www.pinecone.io/) Vector DB
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+ - [OpenAI](https://platform.openai.com/docs/introduction) LLM and Embeddings
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+ ## Example Prompts
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+ - What is AI Makerspace?
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+ - What is RAG?
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+ - Who is the llm wizard? aka the whiz.
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+ - Summarize the livestream "How to Become an AI Engineer in 2024"