Sample Files

This project includes a set of Python scripts for extracting information and demonstrating a question-answering application using Atlas Vector Search and RAG architecture.

Project Structure

• README.md: Project documentation providing an overview of the project and usage instructions.
• extract_information.py: Python script for extracting information using Atlas Vector Search.
• key_param.py: Configuration file containing key parameters and dependencies.
• load_data.py: Python script for loading data into MongoDB Atlas.
• Sample_Files/: Directory containing sample text files for demonstration.

key_param.py - Configuration File

The key_param.py file serves as a configuration file for setting up key parameters and dependencies required for the project. It includes the following functionality:

1. Imports necessary libraries and modules.
2. Connects to MongoDB Atlas using the specified URI and sets up a database and collection.
3. Initializes a directory loader to load data from text files in the Sample_Files directory.
4. Creates OpenAI embeddings and stores data in the MongoDB collection.
5. Defines a function (query_data) for performing similarity search and question-answering using vector search and RAG architecture.
6. Utilizes Gradio to create a user interface for interacting with the question-answering application.

Usage

1. Run the script to configure key parameters and load data into MongoDB Atlas.
2. Utilize the query_data function to perform similarity search and question-answering.
3. Launch the Gradio user interface for a user-friendly experience.

Note: Ensure to replace placeholder values with actual keys and URIs for proper functionality.

Usage Instructions

1. Refer to README.md for project-specific instructions and details.
2. Execute individual scripts (extract_information.py, load_data.py) based on the desired functionality.
3. Interact with the question-answering application through the Gradio user interface.

Dependencies

• pymongo: MongoDB Python driver for interacting with MongoDB Atlas.
• langchain: A library for natural language processing tasks.
• gradio: A library for creating interactive user interfaces for machine learning models.

Sample Files

The Sample_Files directory contains text files used for demonstration purposes. Users can customize and replace these files with their own data.

Note

This documentation provides a high-level overview of the project structure, key files, and usage instructions. For detailed information on each script's functionality, refer to the code and comments within each file.