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title: groundlens — Hallucination Detection Demo
thumbnail: >-
https://github.com/groundlens-dev/groundlens/blob/bc6d60ed03d2757fb71fa9317cef44f1da7d7f79/docs/assets/Logo_groundlens_new-05.png
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 6.14.0
app_file: app.py
pinned: true
license: mit
tags:
- hallucination-detection
- llm-evaluation
- rag
- grounding
- nlp
- groundlens
- embedding-geometry
short_description: Geometric LLM hallucination detection. No second LLM.
---
[](https://pypi.org/project/groundlens/)
[](https://github.com/groundlens-dev/groundlens)
# groundlens — Hallucination Detection Demo
Detects LLM hallucinations using embedding geometry. No second LLM. Deterministic. Auditable.
Benchmarked against [Vectara HHEM-2.1-Open](https://huggingface.co/vectara/hallucination_evaluation_model).
## Methods compared
**groundlens SGI** (with context): ratio of Euclidean distances on the embedding space —
`dist(response, question) / dist(response, context)`. No model inference for
the evaluation. One embedding call, one division.
**groundlens DGI** (without context): cosine similarity between the response
displacement vector and the mean displacement of verified grounded pairs.
**HHEM-2.1-Open** (Vectara): fine-tuned flan-T5 classifier. Full model
inference per evaluation call.
## When they disagree
Disagreement surfaces **Type III hallucinations** — factual errors within
a correct semantic frame. Embedding geometry cannot detect these: the
response occupies the geometrically correct region of the space despite
being factually wrong. HHEM's classifier may catch some of these cases.
The two methods are orthogonal signals, not competing alternatives.
## Install the library
```bash
pip install groundlens
```
## Links
- [GitHub](https://github.com/groundlens-dev/groundlens)
- [Documentation](https://docs.groundlens.dev)
- [PyPI](https://pypi.org/project/groundlens/)
- [Website](https://groundlens.dev)
## Research
- [Semantic Grounding Index — arXiv:2512.13771](https://arxiv.org/abs/2512.13771)
- [Geometric Taxonomy of Hallucinations — arXiv:2602.13224v3](https://arxiv.org/pdf/2602.13224v3)
- [Rotational Dynamics of Factual Constraint Processing — arXiv:2603.13259](https://arxiv.org/abs/2603.13259) |