This Pinecone Utility demonstrates the integration of two powerful connectors—ADA Embeddings and the Pinecone connector—to address a specific business use case. A standout feature of this utility is its ability to leverage embeddings and a vector database for advanced functionality. 

The utility employs Pinecone to store embeddings and uses ADA to transform documents into vector representations. It enables vector-based queries on the stored vectors within the Pinecone database. While other GenAI APIs, such as Chat Completion, can provide similar results, this utility enhances OutSystems applications by facilitating seamless adaptation to new implementations, delivering more precise and contextually relevant outcomes through its vector-based approach.