Welcome to the official GitHub organization for Vector Database Cloud! This is the central place for our open-source projects, joining the beta test program, community discussions, reporting bugs, requesting features, viewing our platform roadmap, making contributions, and engaging with our community.
- Introduction
- Prerequisites
- What We Offer
- Ephemeral Context Protocol (ECP)
- Code of Conduct
- How to Contribute
- Beta Testing
- Community Discussions
- Related Repositories
- Troubleshooting
- License
- Disclaimer
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.
- A GitHub account
- Familiarity with Git and GitHub
- Knowledge of vector databases and their applications
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.
The Ephemeral Context Protocol (ECP) is our proprietary, multi-cloud platform featuring a vector database, AI models, and infrastructure. It is 100% ECP-embedded, 100% ECP-native, meets <5ms latency with >100k concurrent users, and has built-in compliance by design.
- 100% ECP-native: Built from the ground up with ECP principles
- High Performance: <5ms latency with >100k concurrent users
- Compliance by Design: Built-in security and compliance features
- Multi-Cloud Support: Deploy on AWS, Azure, or GCP
- Read the ECP Specification: Understand the protocol design and components
- Try the ECP Sandbox: Experiment with ECP in a controlled environment
- Join our Case Study Program: Share your experience implementing ECP
Please read our Code of Conduct to understand the guidelines for participating in our community.
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.
If you have a feature request, please submit it using our Feature Request Template. Describe your idea clearly to help us understand and implement your suggestion.
You can view our project's roadmap here to see what we are currently working on and what is planned for the future.
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.
If you encounter any issues while testing beta features, please report them using our Beta Bug Report Template.
Your feedback is valuable to us! Please use our Beta Feedback Template to provide your thoughts and suggestions.
Join our Discussions to engage with the community, share ideas, and get feedback.
Explore our other repositories to find resources, examples, and tools related to Vector Database Cloud:
- Snippets: A collection of user-generated code snippets, including enhancements, CSV file uploads, ETL processes, and more, built for or in conjunction with pgvector, Milvus, Qdrant, and ChromaDB.
- Chatbots: Repository for user-generated chatbots built for or in conjunction with pgvector, Milvus, Qdrant, and ChromaDB.
- Demos: Showcases user projects deployed via VectorDBCloud (or independently) that utilize pgvector, Milvus, Qdrant, and ChromaDB.
- Tutorials: Focused tutorials on using pgvector, Milvus, Qdrant, and ChromaDB, guiding users through various use cases and integrations.
- Models: A curated list of Hugging Face models optimized for use with pgvector, Milvus, Qdrant, and ChromaDB.
- Embeddings: Pre-computed embeddings for various data types, optimized for use with vector databases.
- Datasets: A collection of open-source datasets relevant to vector database applications.
- Website: The source code for
snippets.vectordbcloud.com, including frontend and backend components. - Community: You are here! The central hub for all community-related activities, including bug reporting, feature requests, and discussions.
- Showcase: A platform to highlight innovative projects and use cases developed by the community using VectorDBCloud technologies.
- Ingestion-Cookbooks: Recipes and guides for data ingestion into vector databases.
- Open-Source-Embedding-Cookbook: Collection of open-source embedding techniques and best practices.
- ECP: The official repository for the Ephemeral Context Protocol specification, schema, and reference implementations.
If you encounter any issues while using Vector Database Cloud or participating in our community:
- Check our FAQ for common questions and answers.
- Review the documentation specific to the vector database you're using.
- Search existing issues in the relevant repository to see if your problem has already been addressed.
- If you can't find a solution, feel free to open a new issue in the appropriate repository, providing as much detail as possible about the problem you're experiencing.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Copyright (c) 2025 Vector Database Cloud
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 Vector Database Cloud, 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 Vector Database Cloud endorses you or your use.
Additionally, we require that any use of this guide includes visible attribution to Vector Database Cloud. This attribution should be in the form of "Based on Vector Database Cloud Community", 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 information and resources provided in this community repository are for general informational purposes only. While we strive to keep the information up-to-date and correct, we make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the information, products, services, or related graphics contained in this repository for any purpose. Any reliance you place on such information is therefore strictly at your own risk.
Vector Database Cloud configurations may vary, and it's essential to consult the official documentation before implementing any solutions or suggestions found in this community repository. Always follow best practices for security and performance when working with databases and cloud services.
The content in this repository may change without notice. Users are responsible for ensuring they are using the most current version of any information or code provided.
This disclaimer applies to Vector Database Cloud, its contributors, and any third parties involved in creating, producing, or delivering the content in this repository.
The use of any information or code in this repository may carry inherent risks, including but not limited to data loss, system failures, or security vulnerabilities. Users should thoroughly test and validate any implementations in a safe environment before deploying to production systems.
For complex implementations or critical systems, we strongly recommend seeking advice from qualified professionals or consulting services.
By using this repository, you acknowledge and agree to this disclaimer. If you do not agree with any part of this disclaimer, please do not use the information or resources provided in this repository.