MLC Bakery FAQs

Question 1

How do I deploy MLC Bakery?

Accepted Answer

MLC Bakery can be deployed using Docker Compose, making setup simple. Alternatively, it can be run locally using Python with the `uv` package manager and Poetry.

Question 2

What is MLC Bakery?

Accepted Answer

MLC Bakery is a Python-based service for managing the provenance and lineage of your machine learning models. It helps you track data, entities, activities, and their relationships throughout the ML lifecycle.

Question 3

What technologies does MLC Bakery use?

Accepted Answer

MLC Bakery is built using FastAPI, SQLAlchemy, and supports Croissant metadata validation. It relies on a Postgres database and Typesense for search functionality.

Question 4

What are the key features of MLC Bakery?

Accepted Answer

MLC Bakery offers dataset management with collection support, entity tracking, activity logging, provenance relationship tracking, and a RESTful API for easy integration.

Question 5

How can I access the MLC Bakery API?

Accepted Answer

Once deployed, the API is accessible via Swagger UI and ReDoc, offering convenient documentation and testing tools.

MLC Bakery

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