The integration will see Cloudera’s CDP enhanced with Pinecone’s vector database, facilitating the development and deployment of AI-driven applications. The collaboration will also introduce an Applied ML Prototype (AMP), designed to accelerate the creation and expansion of knowledge bases for website data. Additionally, new pre-built connectors are expected to streamline the setup process for data ingestion pipelines in AI applications.
Vector databases are adept at managing data representations (vector embeddings) and enable efficient semantic similarity searches, a process where traditional databases typically underperform.
[Image courtesy: Pinecone]