Welcome to the world of Voyager – a cutting-edge library that transforms how we perform nearest-neighbor searches on embedding data. In this guide, we will walk you through the steps to install and leverage Voyager’s capabilities, and tackle some common troubleshooting queries along the way.

What is Voyager?

Voyager is like the navigation system of a spaceship, guiding you to the nearest stars (or in this case, data points) in the vast universe of vector embeddings. Using the HNSW algorithm, it offers lightning-fast searches through an in-memory collection of vectors. It was initially developed and is widely used at Spotify, handling hundreds of millions of queries daily.

Installation

Getting started with Voyager is as easy as launching a spacecraft. Here’s how to install it in various environments:

For Python

To install Voyager for Python, you need to enter the following command in your terminal:

pip install voyager

For Java

For those using Java, add the following dependency to your pom.xml:

<dependency>
    <groupId>com.spotify</groupId>
    <artifactId>voyager</artifactId>
    <version>2.0.4</version>
</dependency>

You can find the latest version on the Voyager Releases page.

For Scala

For Scala, include the following in your build.sbt:

libraryDependencies += "com.spotify" % "voyager" % "2.0.4"

Again, the latest version can be fetched from the Voyager Releases page.

Compatibility

Voyager is compatible with a variety of platforms. Here’s a quick overview:

• Linux: Python (3.7 to 3.12), Java (8-16+)
• macOS: Python (3.7 to 3.12), Java (8-16+)
• Windows: Python (3.7 to 3.12), Java (8-16+)

Troubleshooting

If you run into issues while installing or using Voyager, here are some troubleshooting steps:

• Python Version Issues: Ensure you have the correct version of Python installed. Voyager supports Python versions from 3.7 to 3.12.
• Java Dependency Errors: Double-check that you’ve entered the correct dependency in your pom.xml or build.sbt.
• Environment Compatibility: Make sure you’re using a compatible operating system and version as outlined above.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Thoughts

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.