4 posts tagged with "search"

Today, we're excited to share that Tigris Search has moved into beta.

Over the coming days, we'll share more about the features available in Tigris Search. But in this post, we'd like to focus on a feature that feels magical and we believe differentiates Tigris from the competition: Tigris Database to Search automatic synchronization.

Tigris Database to Search automatic synchronization allows you to automatically create search indexes and synchronize your data from Tigris Database to Tigris Search. You don't need to spin up any new and costly infrastructure or add any complex configuration to take advantage of this. All you need to do is update your Tigris data model definitions!

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.

Real-time full-text search is a feature that enhances the user experience of web applications, particularly in online stores, social media platforms, documentation, and blogs. It enables users to search and instantly get up-to-date information returned to them. Combining that with an experience where search results update as a user types (without direct user query submission or a page reload) provides an even better UX that helps users get the information they need more efficiently.

In this tutorial, we'll walk you through converting a static Next.js e-commerce product listing into a database-driven site with real-time full-text search of all products using Tigris.

In the following section, we'll provide background info on real-time, full-text search, and how Tigris is an enabler of both. However, feel free to jump to the Tutorial to follow the step-by-step guide. Or, head to the real-time full-text search GitHub repo if you want to dive into the code.

We've just published a new guide in our documentation covering how to Add Full-Text Search to a Nuxt E-commerce Store with Tigris Search & Netlify Functions.