# Vector Stores *** Un vector store o base de datos vectorial se refiere a un tipo de sistema de base de datos especializado en almacenar y recuperar vectores numéricos de alta dimensión. Los vector stores están diseñados para gestionar e indexar estos vectores de manera eficiente, permitiendo búsquedas de similitud rápidas. ### Mira una introducción sobre Vector Stores y cómo puedes usarlos en Flowise {% embed url="" %} ### Nodos Vector Store: * [Pinecone](/espanol/documentacion-oficial/integraciones/llamaindex/vector-stores/pinecone.md) * [SimpleStore](/espanol/documentacion-oficial/integraciones/llamaindex/vector-stores/queryengine-tool.md) --- # 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.flowiseai.com/espanol/documentacion-oficial/integraciones/llamaindex/vector-stores.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.