GH Repository · superduper-io
superduper
Superduper: End-to-end framework for building custom AI applications and agents.
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makePythonragsemantic-searchchatbotllmopspretrained-modelsaidatabasedistributed-mltorchvector-searchllm-servingtransformerspytorchmongodbpythonmldatamlopsinferencellm-inference
Superduper is an end-to-end Python framework for building custom AI applications and agents. It integrates machine learning models, including PyTorch and transformer-based ones, with databases such as MongoDB to support vector search, semantic search, and RAG workflows.
You reach for it when you want to connect pretrained models and LLM inference directly to your database for building RAG and agentic applications without gluing separate ML and data tools together.
Use it to
- Build RAG pipelines over your database
- Add vector and semantic search to stored data
- Serve LLM and pretrained model inference
- Assemble custom AI agents and chatbots
- Run distributed ML inference in production
For Python developers building AI apps and agents
- Role
- rag
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 545
- Open issues
- 29
- Last push
- 2025-09-01
- Latest release
- 0.0.4 · 2023-08-03
topicsragvector-searchllm-inferencemongodbpytorchmlops