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vector-database

Vector database and search infrastructure setup (Qdrant, embeddings)

Overview

This repository contains infrastructure and automation scripts for setting up and managing vector-database components.

Prerequisites

  • Docker and Docker Compose
  • Ubuntu/Debian Linux environment
  • Appropriate API keys and tokens (see Configuration section)

Installation

# Clone the repository
git clone https://github.com/wtfisai/vector-database.git
cd vector-database

# Make scripts executable
chmod +x *.sh

# Follow setup instructions below

Configuration

Before running the scripts, you may need to:

  1. Set up environment variables
  2. Configure API keys and tokens
  3. Adjust configuration files for your environment

Usage

Database Setup

# Start database services
docker-compose up -d

# Check service status
docker-compose ps

# Access databases
# - Redis: localhost:6379
# - MongoDB: localhost:27017
# - PostgreSQL: localhost:5432

Contributing

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

License

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

Support

For issues and questions:

  • Open an issue in this repository
  • Check the troubleshooting section above
  • Refer to the official documentation of the underlying technologies

Related Repositories

This is part of a larger development server infrastructure. See the dev-server-index repository for the complete overview.

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Vector database and search infrastructure setup (Qdrant, embeddings)

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