Library / SDK
Observability & EvaluationRetrieval & Memory
AutoRAG
1Automatically 2find 3your 4best 5RAG 6pipeline
the six Ws · specification
W1
Who
Maintained by Marker Inc.
W2
What
Automatically finds the best RAG pipeline for data.
W3
Where
A Python library run locally or in CI.
W4
When
When optimizing a RAG stack against your data.
W5
Why
Benchmarks RAG modules to pick the best combination.
W6
With
Python, your data, and an LLM provider.
W7
Watch
Company-maintained; open-source (Apache-2.0), self-runnable. Evaluation runs locally; LLM-based metrics call the provider you configure.