# Vector Database ### Overview Vector databases, often referred to as "vectordbs," are specialized database systems designed to store, manage, and query vector embeddings efficiently. These databases are tailored to handle high-dimensional numerical representations of data that capture semantic relationships, making them particularly suitable for tasks like similarity search, recommendation systems, natural language processing, and machine learning applications. ## Supported Vector Databases Currently we are supporting two vector databases: * Chromadb * Weaviate --- # 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://genaistack.aiplanet.com/components/vector-database.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.