Build Scalable Gen AI Data Pipelines with Weaviate and Databricks

AI Impact Summary

This document outlines a strategy for building scalable generative AI data pipelines using Weaviate and Databricks. The key integration point is the Weaviate Spark Connector, which allows for seamless data ingestion from Databricks DataFrames directly into Weaviate's vector database. This approach leverages Databricks' compute power for data transformation and Weaviate's vector search capabilities for efficient AI applications, enabling hybrid and generative search functionalities.