Sveltekit Pgvector Supabase

screenshot of Sveltekit Pgvector Supabase
svelte
vite
tailwind
bits-ui
drizzle-orm

A demo of using vectors, sveltekit, and supabase together in a (semi) useful example

Overview

This innovative application harnesses the capabilities of the AI SDK, Supabase, and SvelteKit to deliver a robust search feature powered by vector indexing. By seamlessly integrating these technologies, the app showcases an impressive demonstration of how to create and query vectors, making it an excellent tool for those looking to enhance their search capabilities with artificial intelligence.

With this demo, users can effortlessly explore various methods of indexing and searching vectors, ultimately providing a better understanding of how these technologies work together to optimize search functionality. Whether you're a developer or simply curious about AI implementations, this app is a fantastic resource.

Features

  • AI SDK Integration: Leverages the OpenAI SDK to utilize powerful embedding techniques for enhanced search performance.
  • Supabase Backend: Utilizes Supabase for real-time database capabilities, allowing for efficient data handling and storage.
  • Vector Indexing: Demonstrates multiple approaches to indexing vectors, improving the way data is searched and retrieved.
  • Easy Setup: Requires minimal prerequisites and provides a straightforward setup process with environmental variable configurations and package installations.
  • Development Environment: Built on SvelteKit for a modern development experience, making it easy and efficient to run and test.
  • Example Queries: Offers practical examples of creating and querying vectors, which can aid educational efforts and development projects.
  • Documentation Resources: Includes references to essential documentation, ensuring users have the information needed to effectively utilize the app.
svelte
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vite
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