Case Study: Obviant achieves 30% more accurate defense recommendations with Pinecone

Obviant makes 30% more accurate defense acquisition recommendations combining sparse and dense retrieval with Pinecone

Obviant, a unified defense market intelligence platform, struggled to extract insights from vast, fragmented government data. Traditional keyword search was insufficient for understanding context and relationships in complex documents. To power advanced recommendations for its users, Obviant turned to Pinecone for a scalable vector database solution.

By implementing Pinecone, Obviant built a hybrid retrieval system that combines sparse and dense vectors for a cascading search architecture. This solution, powered by Pinecone, resulted in a 30% increase in recommendation relevance, manages over 120 million vectors, and maintains query latency under 50ms, delivering critical insights faster to its customers.

Obviant

Harrison Linowes

Founding Engineer