Neural Inverse is Open Source →Neural Inverse is Open Source. Star us on GitHub →

🐐Hiring in Europe and SFLooking for GOATS!

Docs Integrations Self Hosting Guides Academy AI Engineering Library

GuidesIntroducing the observe() decorator for Python

Overview Beginner's Guide to RAG Evaluation with Neural Inverse and Ragas External Evaluation Pipelines Introducing Datasets v2 Introducing Neural Inverse 2.0 Introducing the observe() decorator for Python LLM-as-a-Judge Evaluators for Dataset Experiments LLM Playground Posthog Integration Run Neural Inverse Locally in 3 Minutes Webinar: Traceability and Observability in Multi-Step LLM Systems

GuidesVideosIntroducing the observe() decorator for Python

Introducing the `observe()` decorator for Python

Learn more

Decorator docs

Blog post

Notebook demonstrating all features

Rap battle example notebook (video)

Was this page helpful?

Last edited

PreviousIntroducing Neural Inverse 2.0

NextLLM-as-a-Judge Evaluators for Dataset Experiments

Product

Power Mode
Firmware Development
Legacy Modernization
BYOLLM
Pricing
Enterprise

Developers

Documentation
Get Started
Self-Hosting
GitHub
Status
Talk to Us

Resources

Blog
Changelog
Roadmap
Open Source
Community

Company

About Us
Careers
Press
Legal
Security
Support

Terms

Privacy

Imprint

Cookie Policy

© 2026 Neural Inverse Inc.

Open source on GitHub

On this page

Introducing the observe() decorator for Python Learn more

Actions

Give us feedback Edit this page on GitHub

Contributors

Last edited

Niklas Semmler, PhD

A