DataStax, renowned for its innovative artificial intelligence (AI) data solutions, is expanding its collaboration with Google Cloud to streamline the journey to production for enterprise-level generative AI and retrieval augmented generation (RAG) applications. This enhanced partnership aims to empower developers to seamlessly integrate models with a plethora of applications, APIs, and legacy data sources, facilitating the creation of production-ready generative AI applications at an enterprise scale.

Announcing groundbreaking integrations with API extensions to Google Cloud’s Vertex AI Extension and Vertex AI Search, DataStax is simplifying the utilization of data from numerous existing enterprise applications and data sources. As a leading collaborator with Google Cloud, DataStax remains committed to developing further integrations within the Vertex AI platform, making it easier to link generative AI models with existing code, data, and APIs.

These integrations provide support for Vertex AI within RAGStack, enhancing the capabilities of DataStax’s Astra DB. This enables developers proficient in languages like JavaScript, Python, C#, and others to effortlessly harness their data for generative AI and RAG applications within the Google Cloud AI ecosystem. Notable examples include Fashion Buddy, a fashion recommendation app, and NoSQL Assistant, a customer support chatbot, developed by DataStax using these integrations.

Furthermore, the new integration of Astra DB with Vertex AI Search offers a no-code solution for RAG application development, streamlining the orchestration of AI applications. This ensures that enterprises can maintain control over their data and applications while upholding data privacy and security standards. Enterprises stand to benefit from the simplified generative AI application development process and robust security controls, including Identity and Access Management permissions, access transparency, customer-managed encryption keys, and Virtual Private Cloud security.

Ritika Suri, Director of Technology Partnerships at Google Cloud, highlights the value that generative AI can bring to organizations by leveraging Google Cloud’s technology: “By leveraging Google Cloud’s technology, DataStax can assist customers in better utilizing the data required for enterprise-grade generative AI applications.”

Ed Anuff, Chief Product Officer at DataStax, emphasizes the company’s dedication to providing developers with cutting-edge tools in the generative AI ecosystem through these integrations: “These integrations underscore our commitment to equipping developers with the most advanced tools in the generative AI ecosystem.”

Martin Brodbeck, Chief Technology Officer at Priceline, commends the Astra DB integration with Vertex AI for simplifying generative AI application development: “DataStax’s Astra DB integration with Vertex AI simplifies GenAI app creation and provides rapid responses, global scalability, and resilience. We’re excited to unlock the full potential of this partnership as we continue to enhance real-time personalized recommendations for our customers.”