TOOLS

Awesome LLM Apps with RAG GitHub Repository

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23 May 2024 4h28

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

Streamlit PDF Chat Application Demo with Llama3

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23 May 2024 4h28

Working Application demo using Streamlit

Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_pdf_llama3.py' pic.twitter.com/cnyYCaFIfS
— Shubham Saboo (@Saboo_Shubham_) 23 mai 2024

Working Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_pdf_llama3.py'

Full RAG Application Code to Chat with PDF using Llama-3

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23 May 2024 4h27

Full RAG Application Code to Chat with PDF using Llama-3

Build PDF Q&A App Using Embedchain and Streamlit

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23 May 2024 4h27

6. Ask question about the PDF and display the answer • Create a text input for the user to enter their question using 'st.text_input()'
• If a question is asked, get the answer from the Embedchain app and display it using 'st.write()'

Upload PDF to Knowledge Base Using Streamlit File Uploader

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23 May 2024 4h27

5. Upload a PDF file from UI and add it to the knowledge base • Use 'st.file_uploader()' to create a file uploader for PDF files.
• If a PDF file is uploaded, create a temporary file and write the contents of the uploaded file to it.

Initializing Embedchain App with Vector Database Setup

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23 May 2024 4h27

4. Initialize the Embedchain App • Create a temporary directory for the vector database using 'tempfile.mkdtemp()'
• Create an instance of embedchain bot.

Build Local LLM RAG App Chat PDF Llama-3

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23 May 2024 4h27

Build a LLM app with RAG to chat with PDF using Llama-3 running locally on your computer (100% free and without internet):