detailed walkthrough of how to RAG against knowledge graphs
CODE
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Charlie Mnemonic Adds Long-Term Memory Capability
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We are planning to add it to our Charlie Mnemonic, which already has long-term memory https://
github.com/GoodAI/charlie
-mnemonic
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New Version of Platform Project Code-Named Promti-mouse
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The platform he was built on is dead, sadly. I’m working on a new version, code name: Promti-mouse. Find it here: https://
udify.app/completion/AUU
qhHYiVXybdyeo
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Ashpreet builds impressive Phidata AI project
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Thanks for sharing Ashpreet!! And also for building the super cool @phidatahq project
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LLM Apps Demo with RAG and AI Agents GitHub Repository
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Find all the awesome LLM Apps demo with RAG and AI agents in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Streamlit Web Agent Application Demo
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 21 mai 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run ai_webagent.py' pic.twitter.com/RIpw2M5AiIWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run ai_webagent.py'
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Full Application Code for Generative AI Search Assistant
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Full Application code for Generative AI Search Assistant
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Building AI Assistant with GPT-4 and DuckDuckGo
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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-4 as LLM and DuckDuckGo as the tool. -

Building Streamlit Apps with Python UI Components
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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()' -

Essential Libraries for Building AI Agents with Streamlit
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2. Import necessary libraries • Streamlit for building the web app
• Phidata for building AI agents
• OpenAI for using the LLM
• Duckduckgo for the search functionality
