Supabase Vector

(Be the first to comment)
Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.0
Visit website

What is Supabase Vector?

Supabase Vector is an open-source, Postgres Vector database and AI Toolkit integrated with Supabase. It allows developers to store, index, and access embeddings using pgvector and build AI applications using Supabase's AI toolkit.

Key Features

  • Postgres + pgvector: Store, query, and index vector embeddings in a Postgres instance, enabling users to leverage the power of SQL for vector operations.
  • OpenAI and More: Easily connect to any LLM or embeddings API, including Hugging Face and SageMaker, allowing developers to seamlessly integrate OpenAI models into their applications.
  • Secure and Scalable: Supabase Vector is SOC2 Type 2 compliant, ensuring data security, and bietet a scalable architecture that can handle large volumes of vector data.

Use Cases

  • Build semantic search engines that enable users to search for content based on semantic similarity.
  • Enhance chatbots with content-based long-term retention, allowing them to recall and respond to previous conversations.
  • Develop image similarity applications that can recognize and cluster similar images based on visual features.

Conclusion

Supabase Vector provides a robust and accessible platform for developing AI applications, enabling developers to store, query, and index vector embeddings seamlessly within Postgres. Its integration with Supabase ensures security, scalability, and ease of use, making it a valuable tool for building a wide range of AI-powered applications.


More information on Supabase Vector

Launched
2017-09
Pricing Model
Free
Starting Price
Global Rank
2384
Follow
Month Visit
14.5M
Tech used
Next.js,Vercel,Progressive Web App,RSS,Webpack,HSTS

Top 5 Countries

19.85%
9.15%
6.19%
4.27%
2.92%
United States India Brazil United Kingdom France

Traffic Sources

0.58%
0.19%
0.03%
5.7%
26.61%
66.88%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 24, 2025)
Supabase Vector was manually vetted by our editorial team and was first featured on 2023-06-10.
Aitoolnet Featured banner
Related Searches

Supabase Vector Alternatives

Load more Alternatives
  1. PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.

  2. pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.

  3. pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.

  4. VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.

  5. Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.