Case Study: Gong achieves 10x cost savings in AI concept tracking with Pinecone

Gong - Customer Case Study

Gong, a revenue intelligence platform, faced the challenge of tracking nuanced concepts in customer conversations, as traditional keyword search was ineffective. To power their AI-driven Smart Trackers feature, they needed a vector database capable of efficient and accurate semantic search across a vast number of conversational data points without being computationally heavy.

By implementing Pinecone as their core vector database, Gong empowered Smart Trackers to process and classify concepts through advanced semantic search. The solution, later enhanced by migrating to Pinecone serverless, resulted in a dramatic 10x reduction in costs while maintaining performance at a scale of billions of vectors.

Gong

Jacob Eckel

Vice President