
DeepEval for application-level LLM tests
Write model and retrieval evaluations as tests with explicit metric thresholds.
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Write model and retrieval evaluations as tests with explicit metric thresholds.

Run repeatable model tests against fixtures, assertions and red-team cases.

Use a common Python interface to try different reranking implementations.

Study an encoder architecture for tasks such as classification, retrieval and token labeling.

Score query-document pairs with supported Mixedbread reranking checkpoints.

Explore methods that reconstruct text from embeddings and test privacy assumptions.
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