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Installation

Install VectorAI DB with Docker. Takes about two minutes.

Quickstart

Create a collection, insert vectors, and run your first similarity search.

Core concepts

Understand the data model, architecture, and how search works.

Academy

Hands-on tutorials for semantic search, RAG, hybrid search, and more.

New to VectorAI DB?

Follow this path to get up and running.
1

Install

Set up VectorAI DB locally using Docker.
2

Quickstart

Run the Quickstart to create a collection, insert vectors, and run a similarity search.
3

Learn the core concepts

Read the Overview to understand the data model, architecture, and how a search works. It links into the full reference from there.
4

Build something

Try the Academy tutorials for hands-on walkthroughs, or connect to LangChain or LlamaIndex.

Use cases