The API platform is the foundational technology that powers Spaces. This means that all the advanced functionalities and capabilities you see in the Spaces product are built on top of the API platform. By using the API, users can access and integrate these features programmatically into their own applications. This enables developers to white-label and embed capabilities such as digital assistants and enterprise-grade document search directly into their products, thereby leveraging best-in-class AI technologies to enhance their offerings. The API platform provides the flexibility and power to drive sophisticated AI-native experiences, ensuring seamless integration and superior performance across various applications.

Yes, the API platform can be deployed within a user's private environment. Deployment charts and managed services are available to help run the platform within the user's infrastructure, ensuring full control and security over data and operations.

The platform uses embedding models and ranking models to ensure relevant information retrieval. It employs a two-phase retrieval process: coarse retrieval to gather relevant snippets and a cross-acronym model to rank these snippets for accuracy. Additionally, prompts are engineered to ensure that responses must come from a defined corpus, reducing the likelihood of hallucinations.

Embedding models help in understanding the semantic meaning of text and extracting keywords, facilitating accurate and relevant information retrieval. This dual approach ensures comprehensive search results, pulling related terms and expanding search capabilities.