Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
@saboo_shubham_
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Streamlit Application Demo for ArXiv Chat Integration
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Working Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_arxiv.py'
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Full RAG Application Code Chat Research Papers
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Full RAG Application code to chat with research papers
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Chat Interface for Research Papers Query System
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5. Chat with Research papers • Create a text input for the user to enter their query using 'st.text_input()'
• If a question is asked, run the assistant to get the answer and display it using 'st.write()' -
Building AI Assistant with OpenAI API and ArxivToolkit
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4. Create and Initialize the AI assistant • Create a text input to enter their OpenAI API key using 'st.text_input()'
• If the OpenAI API key is provided, create an instance of Assistant with gpt-40 as LLM and ArxivToolkit as the tool. -
Setting Up Streamlit App UI with Python Code
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3. Set up the Streamlit App Streamlit lets you create user interface with just python code, for this app we will:
• Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()' -
Building AI Agents with Streamlit Phidata and GPT-4o
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2. Import necessary libraries • Streamlit for building the web app
• Phidata for building AI agents
• OpenAI for using the gpt-4o
• arXiv to access the research papers -
Build AI Research Assistant with GPT-4o in 15 Python Lines
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Build an AI Research Assistant with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
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Staying Updated Demonstrates Learning Curiosity and Professional Growth
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Definitely, it helps not just for you to be up-to-date but also shows your zest and curiosity for learning.