About Vector Knowledge

Vector Knowledge emerged from a fundamental challenge in modern knowledge work: traditional search fails to capture the rich context and relationships embedded in email communication. We saw an opportunity to apply cutting-edge AI technology—knowledge graphs, vector embeddings, and large language models—to unlock the intelligence hidden in billions of emails.

Our approach is different. Instead of simple keyword matching, we build semantic knowledge graphs that understand entities, relationships, and context. Using GPT-4 for entity extraction and Pinecone for vector similarity search, we create a true "memory layer" for your professional communication. The result is semantic search that understands what you mean, not just what you say.

We're committed to privacy-first architecture, enterprise-grade security, and cost-efficient AI operations. Through intelligent model selection and optimization, we've achieved 90%+ cost reduction while maintaining exceptional quality. Our goal: make advanced email intelligence accessible to every professional without compromising on security or performance.