Add semantix-ai under Core Frameworks#8
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Adds semantix-ai under Evaluators and Test Harnesses → Core Frameworks, alphabetically between Ragas and TruLens.
semantix-ai is an open-source (MIT) Python library for semantic evaluation of LLM outputs using a local quantized NLI model (~25 MB ONNX, ~15 ms per call, deterministic, no API key).
Why it fits Core Frameworks:
Drop-in reward/metric functions for DSPy (
BestOfN,Refine,Evaluate, MIPROv2) — local, deterministic eval loops without an LLM judge.First-class pytest integration via
pytest-semantix— semantic test assertions in CI.Validators for LangChain, Pydantic AI, Guardrails, Instructor.
Hash-chained JSON-LD audit certificates — tamper-evident.
semantix verify audit.jsonlre-computes the chain.Reproducible benchmarks versus LLM-judge baselines: https://github.com/labrat-akhona/semantix-ai/tree/master/benchmarks
Repo: https://github.com/labrat-akhona/semantix-ai
PyPI: https://pypi.org/project/semantix-ai/
Docs: https://labrat-akhona.github.io/semantix-ai/
License: MIT