Databricks
Using Databricks and Pinecone to create and index vector embeddings at scale
Databricks is a Unified Analytics Platform on top of Apache Spark. The primary advantage of using Spark is its ability to distribute workloads across a cluster of machines. By adding more machines or increasing the number of cores on each machine, it is easy to horizontally scale a cluster to handle computationally intensive tasks like vector embedding, where parallelization can save many hours of precious computation time and resources. Leveraging GPUs with Spark can produce even better results — enjoying the benefits of the fast computation of a GPU combined with parallelization will ensure optimal performance.
Efficiently create, ingest, and update vector embeddings at scale with Databricks and Pinecone.