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SAN FRANCISCO, June 3, 2025 ~ At Snowflake's annual user conference, Snowflake Summit 2025, Contextual AI, the Enterprise AI company, made a major announcement. The company revealed that its state-of-the-art reranker model will now be available as a first-party model in Cortex Search. This integration will allow joint customers to enhance their retrieval-augmented generation (RAG) solutions with the industry's most accurate reranking capabilities, all within Snowflake's performant infrastructure. This move also ensures data security and allows for payment with Snowflake credits.
According to Douwe Kiela, CEO of Contextual AI, this integration will make it easier for enterprises to improve their retrieval quality without the added expense and complexity of managing models and infrastructure. He also emphasized that this partnership with Snowflake will maintain the high level of security and governance that customers expect from the platform.
Dwarak Rajagopal, Vice President and Head of AI Engineering at Snowflake, highlighted the importance of retrieval quality in today's increasingly sophisticated AI applications. He stated that Contextual AI's reranker is among the leaders in the industry and allows customers to customize their results based on business logic. This level of control over retrieval quality can help resolve information conflicts within enterprises.
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One of the key features of Contextual AI's reranker is its instruction-following capabilities. This allows organizations to provide natural language instructions such as "Prioritize recent documents" or "Emphasize internal sources," giving them unprecedented control over retrieval quality. The reranker has also shown superior performance on real-world evaluation datasets across diverse domains like finance and technical documentation.
For Snowflake customers, this integration brings significant benefits. Firstly, it helps improve RAG systems with enhanced retrieval accuracy across various enterprise domains. Additionally, it seamlessly integrates into existing Snowflake workloads as a model within most Cortex functions. And finally, it minimizes infrastructure overhead by leveraging Snowflake's powerful GPU infrastructure and eliminating the need for provisioning and managing compute resources.
This integration is a result of the existing strategic partnership between Contextual AI and Snowflake, which includes Snowflake Ventures' participation in Contextual AI's Series A funding. The Contextual AI Platform is also available as a Snowflake Native App in the Snowflake Marketplace. As a sponsor of Snowflake Summit 2025 in San Francisco, the Contextual AI team is available for meetings upon request.
According to Douwe Kiela, CEO of Contextual AI, this integration will make it easier for enterprises to improve their retrieval quality without the added expense and complexity of managing models and infrastructure. He also emphasized that this partnership with Snowflake will maintain the high level of security and governance that customers expect from the platform.
Dwarak Rajagopal, Vice President and Head of AI Engineering at Snowflake, highlighted the importance of retrieval quality in today's increasingly sophisticated AI applications. He stated that Contextual AI's reranker is among the leaders in the industry and allows customers to customize their results based on business logic. This level of control over retrieval quality can help resolve information conflicts within enterprises.
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One of the key features of Contextual AI's reranker is its instruction-following capabilities. This allows organizations to provide natural language instructions such as "Prioritize recent documents" or "Emphasize internal sources," giving them unprecedented control over retrieval quality. The reranker has also shown superior performance on real-world evaluation datasets across diverse domains like finance and technical documentation.
For Snowflake customers, this integration brings significant benefits. Firstly, it helps improve RAG systems with enhanced retrieval accuracy across various enterprise domains. Additionally, it seamlessly integrates into existing Snowflake workloads as a model within most Cortex functions. And finally, it minimizes infrastructure overhead by leveraging Snowflake's powerful GPU infrastructure and eliminating the need for provisioning and managing compute resources.
This integration is a result of the existing strategic partnership between Contextual AI and Snowflake, which includes Snowflake Ventures' participation in Contextual AI's Series A funding. The Contextual AI Platform is also available as a Snowflake Native App in the Snowflake Marketplace. As a sponsor of Snowflake Summit 2025 in San Francisco, the Contextual AI team is available for meetings upon request.
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