Quick Start
You can get up and running quickly with Aerospike Vector Search (AVS) using Docker.
Request a 60 day free trial feature-key file with the vector-service option enabled to install AVS locally.
- Clone the examples repository
This repository contains several pre-configured example applications for deploying and using AVS.
git clone https://github.com/aerospike/aerospike-vector-search-examples
- Copy your feature key file
Your feature key file should be located in follow location and named features.conf.
cp ~/Downloads/features.conf ./aerospike-vector-search-examples/prism-image-search/container-volumes/avs/etc/aerospike-vector-search
- Index your photos
You can use the prism-image-search application to index your photos. This application uses the OpenAI CLIP model to create embeddings for your photos. These embeddings are indexed in AVS, and you can perform a semantic search on the index.
Use the following command to copy .jpeg and .jpg files from your ~/Pictures directory to be indexed.
rsync -av --include='*/' --include='*.jp*' --exclude='*' ~/Pictures ./aerospike-vector-search-examples/prism-image-search/container-volumes/prism/images/static/data
Start the database, AVS, and the search application.
docker-compose -f ./aerospike-vector-search-examples/prism-image-search/docker-compose.yml up -d
After a few minutes, navigate to http://localhost:8080/search and search your photos.
Next Steps
After completing the quick start, you can do the following:
Install
asvec: Theasveccommand line interface (CLI) is a tool for managing AVS.Create a data pipeline: This page outlines various approaches for generating vector embeddings that you can use on your own data.