An open-source Firebase alternative with pgvector for AI applications.
Supabase is an open-source backend platform built on PostgreSQL, offering database, authentication, storage, and serverless functions. For AI applications, its integration of pgvector makes it a compelling choice for teams wanting vector capabilities alongside traditional database features.
AI-relevant features include: pgvector extension for embedding storage and similarity search, Edge Functions for serverless AI processing, Row Level Security for multi-tenant AI apps, and real-time subscriptions for streaming updates. Being PostgreSQL-based means standard SQL alongside vector operations.
Supabase is attractive for AI applications needing more than just vector search, such as user data, authentication, and relational data alongside embeddings. Engineers appreciate: not needing separate vector and relational databases, familiar PostgreSQL tooling, and the generous free tier for development. Trade-offs include pgvector's performance at very large scale compared to dedicated vector databases.
An open-source Firebase alternative with pgvector for AI applications.
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