Latest integrations enable developers to connect models to thousands of apps, APIs, and legacy data sources for production-ready, enterprise-generated AI applications
DataStax, a generative AI data company, today announced innovative integrations with API extensions to Google Cloud's Vertex AI Extension and Vertex AI Search, making it easier for developers to leverage their own data. did. Enterprises have hundreds or even thousands of existing apps and data sources, and DataStax will help build new Vertex AI platform integrations that make it easy to connect generative AI models to existing code, data, and APIs. One of the first Google Cloud partners. , simplifying enterprise search extension generation (RAG).
Integration of DataStax Astra DB with Vertex AI Extensions and Vertex AI Search, and support for Vertex AI in RAGStack, makes it easy for JavaScript, Python, C#, and other full-stack developers to seamlessly leverage data for compelling production. You will be able to do it. AI and RAG applications that take full advantage of the Google Cloud AI ecosystem. Using these integrations, DataStax is collaborating with Fashion Buddy, a fashion recommendation app that leverages Vertex AI's Gemini Pro Vision foundational model, Astra DB vector search, and a customer support chatbot that leverages Vertex AI's text embedding. We have developed a generative AI application called. Use your model and Astra DB's vector search to provide accurate answers.
The new Astra DB Vertex AI Search integration enables rapid conversational AI application development with direct access to Astra DB data, providing a no-code solution for RAG application development. This connector simplifies the orchestration of AI applications and abstracts the complexity of enterprise-ready solutions, while retaining control of your data and applications and ensuring privacy and security.
The new Astra DB Vertex AI Extension simplifies the integration of Vertex AI foundation models with Astra DB and facilitates CRUD operations directly within generative AI applications. Companies using this connector can use IAM permissions, access transparency (AXT), data residency (DRZ), customer-managed encryption keys (CMEK), and VPC security (VPC-SC).
“Generative AI can drive significant value from the data that businesses use to power their organizations,” said Ritika Suri, director of technology partnerships at Google Cloud. “By leveraging Google Cloud technology, DataStax helps customers better connect and optimize the data needed for enterprise-grade generative AI applications.”
“At the heart of DataStax's collaboration with Google Cloud's Vertex AI is putting developers first,” said Ed Anuff, CPO, DataStax. “Offering these integrations underscores our commitment to providing developers with cutting-edge tools in the generative AI ecosystem.”
“DataStax's Astra DB and Vertex AI integration simplifies the creation of GenAI apps and provides rapid response, global scalability, and resiliency,” said Martin Brodbeck, CTO, Priceline. “We are excited to unlock the full potential of this partnership as we continue to power real-time, personalized recommendations for our customers.”
For more information, see the DataStax blog about collaboration with Google Cloud and RAG capabilities in Astra DB.
About DataStax
DataStax, a generative AI data company, helps developers and enterprises successfully create bold new worlds through GenAI. We offer a one-stop generative AI stack with everything you need for a faster, easier path to production for relevant and responsive GenAI applications. DataStax works with developers' existing stacks of choice to provide a RAG-first developer experience with first-class integrations to leading AI ecosystem partners. Anyone can quickly build smart, high-growth AI applications at unlimited scale on any cloud. Hundreds of the world's leading companies rely on his DataStax to power his GenAI, including Audi, Bud Financial, Capital One, and SkyPoint Cloud. For more information, please visit DataStax.com.
