Snowflake Invests in Contextual AI to Simplify Deployment of RAG Applications in its Data Cloud

Snowflake Invests in Contextual AI to Simplify Deployment of RAG Applications in its Data Cloud
Snowflake Invests in Contextual AI to Simplify Deployment of RAG Applications in its Data Cloud

With this investment, Contextual AI will be available as a native application in the Snowflake AI Data Cloud, enabling organizations to easily deploy RAG solutions with precision. Unlike legacy systems that require the integration of vector databases and model embeddings, Contextual AI is a solution that seamlessly combines insight retrieval and insight generation, reducing errors and simplifying the implementation process.

This investment continues Snowflake’s efforts to expand its offering with Snowflake Cortex AI, a comprehensive suite of tools for developing AI applications. Together, Cortex AI and Contextual AI will provide customers with a turnkey solution to address the growing need for retrieval-augmented generation. Snowflake customers will be able to deploy Contextual AI as a native application directly within their Snowflake account, making it easier and faster to deploy RAG to more users.

RAG contextualizes the answers provided by large language models by rooting them in enterprise-specific data. This approach ensures the relevance and consistency of results while meeting strict governance and privacy requirements. Snowflake makes it easy for customers to implement this technology by providing robust, easy-to-use tools.

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