🚀 Data Migration Tool for Qdrant

Welcome to the Migration repository! This tool simplifies the process of migrating data into Qdrant, a powerful vector database. Whether you are transitioning existing data or setting up new projects, this tool provides an efficient and reliable solution.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Configuration
• Examples
• Contributing
• License
• Support

Introduction

Data migration can be a complex task, especially when dealing with large datasets or multiple data sources. This tool streamlines the migration process into Qdrant, allowing you to focus on your application rather than the intricacies of data transfer.

For the latest version of the tool, please download and execute the files from Releases.

Features

• Simple Setup: Quick installation process to get you started in no time.
• Support for Multiple Formats: Migrate data from various formats like CSV, JSON, and more.
• Error Handling: Robust error handling to ensure data integrity during migration.
• Progress Tracking: Monitor the migration process with real-time updates.
• Customizable Options: Tailor the migration process to meet your specific needs.

Installation

To install the Migration tool, follow these steps:

1. Clone the Repository:

   git clone https://github.com/BabulalxPy/migration.git
   cd migration

2. Install Dependencies: Make sure you have Python 3.x installed. You can install the required packages using pip:

   pip install -r requirements.txt

3. Download and Execute: For the latest version of the tool, please visit Releases. Download the appropriate file for your system and execute it.

Usage

Once you have installed the tool, you can start migrating your data. Here’s a simple command to get you started:

python migrate.py --source <source_file> --destination <destination_url>

Command Line Options

• --source: Specify the path to your source data file.
• --destination: Provide the Qdrant endpoint where you want to migrate the data.
• --format: Define the format of the source file (e.g., CSV, JSON).
• --help: Show help information about command usage.

Configuration

Before running the migration, you may need to configure some settings. You can do this in the config.yaml file. Here are some common settings:

qdrant:
  url: "http://localhost:6333"
  api_key: "your_api_key_here"

migration:
  batch_size: 100
  timeout: 30

Make sure to replace the placeholders with your actual Qdrant URL and API key.

Examples

Migrating a CSV File

To migrate a CSV file, use the following command:

python migrate.py --source data.csv --destination http://localhost:6333/collections/my_collection --format csv

Migrating a JSON File

For JSON files, the command would look like this:

python migrate.py --source data.json --destination http://localhost:6333/collections/my_collection --format json

Contributing

We welcome contributions to the Migration tool! If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature/YourFeature).
6. Open a Pull Request.

Please ensure your code adheres to our coding standards and includes appropriate tests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Support

If you encounter any issues or have questions, please check the Releases section for updates. You can also open an issue in the repository for further assistance.

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Thank you for using the Migration tool! We hope it simplifies your data migration tasks into Qdrant. Happy coding!