VectorPath develops conversational search models for enterprises and consumer applications, helping users search in natural language rather than relying on rigid keywords. Its technology is designed to recognize intent and context across product searches, troubleshooting requests, recruiting queries, and complex enterprise questions. Beyond finding information, VectorPath models can plan workflows, call an application’s APIs, and carry out tasks such as placing orders, updating records, or executing functions. They can also generate dynamic user interfaces that present results in a format suited to each request.

The company emphasizes an open-source approach, giving developers the ability to fine-tune, extend, and deploy its search model within their own infrastructure. VectorPath also offers managed search, with features including scalability, quantization, and multidimensional output for demanding workloads. Its AI-powered suggestions add curated recommendations alongside conventional search results to support discovery and decision-making. The platform is designed for both people and AI agents, enabling them to interpret natural-language requests, retrieve relevant information, and take meaningful actions within applications.