SuperDuperDB
Open-source AI-native database layer that adds vector search, model integration, and AI workflows on top of existing databases like MongoDB and Postgres.
About this tool
SuperDuperDB
Website: https://github.com/SuperDuperDB/superduperdb
Category: Vector Database Extensions
Brand: superduperdb
Overview
SuperDuperDB is an open-source, AI-native database layer that runs on top of existing databases such as MongoDB and PostgreSQL. It adds vector search, model integration, and AI workflows directly into your existing data stack so you can build database-integrated AI agents and applications with familiar tools.
Features
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Database integration
- Works on top of existing databases (e.g., MongoDB, PostgreSQL)
- Treats your operational database as the core storage layer
-
Vector search
- Adds vector search capabilities to existing databases
- Stores and queries vector embeddings alongside traditional data
-
Model integration
- Integrates AI/ML models directly with the database layer
- Supports building AI-powered behaviors close to the data
-
AI workflows
- Orchestrates AI workflows over data stored in your existing DB
- Designed for building end-to-end AI applications and agents
-
Application & agent building
- Framework for building custom AI applications
- Enables database-integrated AI agents using familiar tools and data schemas
-
Ecosystem & templates
- Documentation and templates for common AI application patterns (via external docs/templates links)
Images
- Architecture: https://raw.githubusercontent.com/SuperDuperDB/superduperdb/main/docs/assets/architecture.png
- Overview: https://raw.githubusercontent.com/SuperDuperDB/superduperdb/main/docs/assets/overview.png
Pricing
- Not specified in the provided content. The project is open source; licensing details are available in the repository’s
LICENSEfile.
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