# Background This section provides essential technical background on the technologies that power Rememberizer. Here you'll find explanations of vector embeddings, vector databases, and other key concepts that enable Rememberizer's semantic search capabilities. If you encounter unfamiliar terminology while using Rememberizer or reading our documentation, refer to our [Glossary](/background/glossary.md) for clear, concise definitions of key terms. For contributors and technical writers working on Rememberizer documentation, please reference our [Standardized Terminology](/background/standardized-terminology.md) guide to ensure consistency across all documents. --- # 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.rememberizer.ai/background.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.