In this post, we'll show you how to use the OpenAI Embeddings API to generate embeddings for your documents and then use Tigris to index these embeddings for fast and scalable vector search.
This is a powerful combination that can be used for building semantic search applications, recommendation engines, and more.
What is vector search?
Vector search is a type of search that uses vector representations of documents to find similar documents. Vector search is a powerful technique that can be used to find similar documents, images, and videos. Vector search is also useful for finding similar products, recommendations, and more.