Supabase provides Postgres with pgvector for AI applications. With Portkey, generate embeddings using 1600+ models and store them in Supabase for efficient retrieval.Documentation Index
Fetch the complete documentation index at: https://portkey-docs-log-export-guide-1773064217.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Prerequisites
- Supabase project API key
- Portkey API key
Setup
1. Install Dependencies
2. Prepare Database
Create Supabase Project
Go to Supabase and create a new project.
3. Configure Clients
Generate & Store Embeddings
Switch Providers
Change the provider to use different embedding models:Cohere’s
embed-english-v3.0 outputs 1024 dimensions. Create a separate table with vector(1024) for Cohere embeddings.Next Steps
Model Catalog
Set up embedding providers
Supported Providers
See all 1600+ supported models

