"Vector Database Guide": Vector Database Pinecone Type and Quantity

Table of contents

overview

vector quantity

the dimension of the vector

Queries per second (QPS)

Metadata cardinality and size

pod size

sample application

Example 1: Semantic Search for News Articles

Example 2: Facial Recognition

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When planning a Pinecone deployment, it is important to know the approximate storage requirements of your vectors in order to choose the appropriate type and number of Pods. This page will provide guidance on sizing to help you plan.

As with all guidance, these considerations are general and may not apply to your specific use case. We recommend that you always test your deployment and ensure that the indexing configuration you use is suitable for your needs.