1. Introduction
2. What We Offer
3. Supported Databases and Technologies
4. How to Contribute
5. Beta Testing
6. Community Discussions
7. Code of Conduct
8. Related Repositories
9. Roadmap
10. License
11. Disclaimer

Welcome to the official GitHub organization for Vector Database Cloud! This is the central place for our open-source projects, beta test program, community discussions, bug reporting, feature requests, platform roadmap, contributions, and community engagement.

Vector Database Cloud provides one-click deployment of popular vector databases including Qdrant, Milvus, ChromaDB, and Pgvector on cloud. Our platform ensures a secure API, a comprehensive customer dashboard, efficient vector search, and real-time monitoring.

We support the following vector databases:

• Qdrant
• Milvus
• ChromaDB
• Pgvector

If you find a bug, please report it using our Bug Report Template. Provide as much detail as possible to help us understand and resolve the issue.

For feature requests, please use our Feature Request Template. Describe your idea clearly to help us understand and implement your suggestion.

We appreciate your interest in helping us test new features! Here's how you can get involved:

To join the beta testing program, please fill out this form to sign up. We will notify you with further instructions.

Report beta issues using our Beta Bug Report Template.

Use our Beta Feedback Template to provide your thoughts and suggestions.

Join our Discussions to engage with the community, share ideas, and get feedback.

Please read our Code of Conduct to understand the guidelines for participating in our community.

Explore our other repositories to find resources, examples, and tools related to Vector Database Cloud:

• Snippets: Code snippets for practical applications and integrations.
• Chatbots: User-generated chatbots leveraging vector databases.
• Demos: Showcase of practical deployments and applications.
• Tutorials: Step-by-step guides and educational content.
• Models: Curated list of Hugging Face models optimized for vector databases.
• Embeddings: Pre-computed embeddings for various data types.
• Datasets: Open-source datasets for vector database applications.
• Playbook: Test scenarios, implementation guides, and best practices.
• Community: Central hub for community interactions.
• Showcase: Highlights of innovative projects and use cases.
• Ingestion-Cookbooks: Recipes and guides for data ingestion into vector databases.
• Open-Source-Embedding-Cookbook: Collection of open-source embedding techniques and best practices.

View our project's roadmap here to see what we are currently working on and what is planned for the future.

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Copyright (c) 2024 VectorDBCloud

You are free to:

• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material for any purpose, even commercially

Under the following terms:

• Attribution — You must give appropriate credit to VectorDBCloud, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests VectorDBCloud endorses you or your use.

Additionally, we require that any use of this guide includes visible attribution to VectorDBCloud. This attribution should be in the form of "Guide created by VectorDBCloud" or "Based on ETL integration guide by VectorDBCloud", along with a link to https://vectordbcloud.com, in any public-facing applications, documentation, or redistributions of this guide.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

For the full license text, visit: https://creativecommons.org/licenses/by/4.0/legalcode

The repositories, code snippets, tutorials, and other materials provided by Vector Database Cloud are examples and resources for our community. They may need adaptation for specific use cases and production environments. These materials are not guaranteed to work in all scenarios and should be thoroughly tested before use in any critical or production systems.

Always follow best practices for security and performance when working with vector databases, APIs, and related technologies. Vector Database Cloud and its contributors are not responsible for any damages or losses that may result from the use of these materials.

Vector Database Cloud configurations, as well as Qdrant, Milvus, ChromaDB, and Pgvector setups, may vary. It's essential to consult the official documentation and your system administrators before implementing any solutions or running tests in your environment. Ensure you have the necessary permissions and understand the potential impact of each operation on your data and system resources.

The content in these repositories is for educational and informational purposes only. Users are responsible for ensuring compliance with applicable laws, regulations, and licensing requirements when using or adapting these materials for their own projects.

Participation in the beta testing program is subject to additional terms and conditions. Beta features may be unstable and are subject to change without notice.

We encourage you to explore these repositories, contribute your own examples, and engage with the Vector Database Cloud community!