# Enterprise Search ### Vector similarity search across disparate and legacy data systems Enterprises face the challenge of accessing data from various disparate and legacy systems to provide AI with comprehensive context. Speed is crucial for this process to be effective. Spice offers a fast knowledge index into both structured and unstructured data, enabling efficient vector similarity search across multiple data sources. This ensures that AI applications have access to the necessary data for accurate and timely responses. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.spice.ai/use-cases/enterprise-search.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.