Supabase Vector
Supabase Vector extends the Supabase platform by providing vector database functionalities, making it easy to add vector search capabilities to applications with PostgreSQL backend.
About this tool
Supabase Vector
Supabase Vector extends the Supabase platform by providing vector database functionalities, allowing developers to add vector search capabilities to applications using a PostgreSQL backend.
Website: https://supabase.com/
Features
- Vector Search: Store, index, and search vector embeddings directly in your PostgreSQL database.
- Postgres Integration: Built on top of PostgreSQL, enabling relational and vector data to coexist.
- Open Source: Part of the open source Supabase platform.
- Seamless Integration: Easily integrates with other Supabase services, such as authentication, storage, edge functions, and real-time subscriptions.
- Data APIs: Provides instant RESTful APIs for your data.
- Scalable Infrastructure: Designed to scale from small projects to millions of users.
- ML Model Compatibility: Integrate your preferred machine learning models for vector storage and search.
Pricing
Pricing details are not specified in the provided content. For up-to-date information, visit the Supabase Pricing page.
Category
Vector Database Engines
Tags
vector-search, postgresql, open-source, integration
Loading more......
Information
Categories
Similar Products
6 result(s)PostgreSQL supports vector indexing and similarity search via the PGVector extension, allowing relational databases to manage and retrieve vector embeddings efficiently.
A distributed vector database designed for scalable and efficient vector similarity search. It is purpose-built for handling large-scale vector data and search workloads.
ClickHouse is an open-source column-oriented database that supports vectorized computation and now offers vector search features. Its architecture enables efficient real-time analytics and vector operations, making it a relevant choice for vector database use cases.
Cottontail DB is an open-source vector database for storing and searching high-dimensional data, with features geared towards research and production environments.
Trieve provides an all-in-one infrastructure for vector search, recommendations, retrieval-augmented generation (RAG), and analytics, accessible via API for seamless integration.
ChromaDB (also known as Chroma or chroma-core) is an open-source vector database focused on LLM applications, emphasizing simplicity and in-memory HNSW-based dense vector search. It is suited for prototyping, metadata filtering, and offers a user-friendly interface for building and testing vector search applications, though it currently lacks hybrid and distributed features.