Superpipe

Build, test, and deploy Large Language Model pipelines on your own infrastructure, optimizing results with multistep pipelines, dataset management, and experimentation tracking.
Large Language Model Optimization Experimentation Platform AI Pipeline Management

Superpipe is an open-source experimentation platform for optimizing Large Language Model (LLM) pipelines. It lets people build, test and deploy pipelines on their own infrastructure, a move designed to cut costs and improve results.

Superpipe includes features to make experimentation easier:

  • Superpipe SDK: Build multistep pipelines and try different parameters like models, prompts and RAG results count.
  • Superpipe Studio:
    • Dataset Management: Create golden sets with intuitive ground-truth labeling tools.
    • Experimentation: Compare experiments by cost, speed and accuracy.
    • Observability: Monitor pipelines and drill down into logs.

Superpipe is the creation of Village Computing Company, which developed the technology as an internal project for pipeline development and then refined it for public use. Superpipe is designed to be self-hosted, so you have full control over privacy and security.

Superpipe doesn't come with a hosted version, but you can easily host Superpipe Studio yourself. For pipeline building tips, check the platform's documentation. Superpipe is designed to work alongside other libraries like Langchain and Llama Index, not replace them.

With a broad experimentation foundation, Superpipe lets you optimize your LLM pipelines more quickly and easily for faster, cheaper and more accurate results.

Published on June 21, 2024

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