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RAG

Improve your RAG application response quality with real-time structured data
We are excited to announce the public preview of Databricks Feature & Function Serving, a low latency real-time service designed to serve structured data from the Databricks Data Intelligence Platform. Feature Serving real-time endpoints enable you to instantly access your pre-computed ML features. Function Serving is an all-new cutting edge technology that enables you to serve any Python function in Unity Catalog as an endpoint for real-time data transformations. Together they streamline your AI development, unlocking a plethora of real-time applications such as rule engines and on-demand feature calculation and serving in classical ML and Gen AI applications.
Improve your RAG application response quality with real-time structured data
https://www.databricks.com/blog/improve-your-rag-application-response-quality-real-time-structured-data
Improve your RAG application response quality with real-time structured data
Databricks - The Data and AI Company
Lakehouse combines the reliability, performance and governance of data warehouses with the openness and flexibility of data lakes. Now you can perform both traditional SQL analytics and BI, plus data science and machine learning on the same platform. Learn more Simple Reduce complexity in your infrastructure.
Databricks - The Data and AI Company
https://databricks.com/
Databricks - The Data and AI Company
 
 

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