my_rag_docs

Vector Data Extraction Tool

This project provides tools for extracting text data from PDF files, URLs, and supports conversational interactions with a language model based on OpenAI's GPT-3.5.

Installation

1. Clone this repository.
2. Install dependencies by running pip install -r requirements.txt.
3. Ensure you have an OpenAI API key.
4. Create a .env file in the root directory of the project.
5. Add the following line to the .env file : OPENAI_API_KEY=your_api_key_here.
6. Replace your_api_key_here with your actual OpenAI API key

Usage

PDF Extractor

1. Launch the PDF Extractor interface.
2. Upload a PDF file.
3. Get the extracted text response.

URL Extractor

1. Launch the URL Extractor interface.
2. Enter a URL containing text data.
3. Get the extracted text response.

Chat with File

1. Launch the Chat with File interface.
2. Start a conversation with the language model based on the uploaded text data.
3. Receive responses from the language model.

Delete Vector Database

1. Launch the Delete Vector Database interface.
2. Click the "Delete" button to delete data from the vector database.

UI

File Descriptions

• main.py: Contains the main code for running the interfaces and interacting with the language model.
• src/: Directory containing utility functions and modules.
• vector_data_base/: Directory containing vector data stored in a database.

Contributing

Contributions are welcome! Please fork the repository, make your changes, and submit a pull request. For major changes, please open an issue first to discuss potential updates.

License

This project is licensed under the MIT License.

Contact

For questions or support, please open an issue in the GitHub repository or contact [[email protected]].