Inside AskData: How We Slashed Token Consumption by Over 90%

Pinecone developed AskData, an in-house AI data agent, to address inefficiencies in querying data from their warehouse, initially leading to inconsistent answers and high token consumption. By integrating it with Pinecone Nexus, a system designed to unify and streamline data retrieval, they achieved a 92% reduction in token usage and a 78% decrease in query steps. AskData leverages a knowledge layer that combines structured data with unstructured business context, enabling consistent and reproducible answers to complex business questions. The transition to Nexus resulted in simplified infrastructure, reduced code complexity, and significant cost savings, validating Nexus as a robust platform for efficient data management and decision-making. This evolution demonstrates the impact of combining structured and unstructured data in enhancing the accuracy and efficiency of data-driven decisions.