How to Create Vector Store Collections

1 min readUpdated 4 November 2026

Build a vector store collection with the Vultr API to hold embeddings for similarity search in RAG applications.

A vector store is a structured repository for storing and retrieving high-dimensional vector embeddings. The collections within a vector store enable fast similarity searches, making them useful for Retrieval-Augmented Generation (RAG) and AI applications.

Follow this guide to create a vector store collection on Vultr Serverless Inference using the Vultr Console or the Vultr API.

Navigate to Compute and click Serverless Inference.
Click the target subscription to open its Manage Serverless Inference page.
Click the Vector Store tab.
Click Add Collection.
Enter a Collection Name.
Click Add Collection.
Verify that the collection appears in the Vector Store Collections table with its Created date.

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Create a Vultr Vector Store Collection for RAG Workloads | Vultr Docs