MyScaleDB, the cutting-edge SQL vector database, is thrilled to announce that it is now open-source as of March 28. This move marks a significant milestone for the AI developer community because it provides a powerful tool to build and scale AI applications like never before.
MyScaleDB is a high-performance, scalable, and cost-effective database that harnesses SQL queries to accelerate vector search and processing. Our team of experienced database engineers has worked tirelessly to create a solution that enables every developer to build production-grade GenAI applications with powerful and familiar SQL.
We believe that the open-sourcing of MyScaleDB gives developers the keys to unlock the full potential to handle the complexities of today’s ever-changing AI world. You’ll have the freedom to customize and enhance the database to suit your specific needs, whether you are building an AI chatbot, a recommendation system, a natural language processing application, or any other Generative AI product and solutions.
Here are some of the key benefits of using MyScaleDB in your AI projects:
- Fully SQL-Compatible:
- Fast, powerful, and efficient vector search, filtered search, and SQL-vector join queries
- Use SQL with vector-related functions to interact with MyScaleDB. No need to learn complex new tools or frameworks – stick with what you know and love.
- Production-Ready for AI applications:
- A single platform to manage and process structured data, text, vector, JSON, geospatial, time-series data, and more.
- Improved RAG accuracy by combining vectors with rich metadata and performing high-precision, high-efficiency filtered search at any ratio.
- Unmatched performance and scalability:
- MyScaleDB leverages cutting-edge OLAP database architecture and advanced vector algorithms for lightning-fast vector operations.
- Scale your applications effortlessly and cost-effectively as your data grows.
Linpeng Tang, CTO of MyScale: "We're thrilled to put the power of MyScaleDB into the hands of developers worldwide. By open-sourcing our technology, we aim to foster innovation and collaboration within the AI developer community, ultimately leading to groundbreaking solutions in AI data management and analytics.”
Wen Dai, General Manager of Solutions Architecture, Greater China, AWS: "Vector data processing is a critical part for LLM infrastructure, while SQL can provide significant scalability and convenience to application developers. MyScale has made notable contributions in this area. With its open source availability, developers will have options to leverage the value of structured data to work with different LLMs for diversified use cases, for better performance, lower cost, and faster innovation paces.”
Ready to start building with MyScaleDB? Head over to our GitHub repository and dive in! We can't wait to see what you'll create.
We're committed to continuously improving and evolving MyScaleDB to meet the ever-changing needs of the AI industry. Join us on this exciting journey and participate in the AI data management revolution!
For the latest updates and to connect with fellow MyScaleDB developers, follow us on Twitter or join our Discord community. Let's build the future of AI together!
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