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Kuni
Python library for processing medical notes with multimodal embedding, clustering, and vector search. Supports text and vision embeddings, zero-shot classification, and clinical assessment processing.
PythonAINLPMedicalComputer Vision
Year2025RoleSole creatorOutcome298 commits across kuni ecosystem
Overview
Kuni is a Python library for processing unstructured medical notes with advanced multimodal embedding, clustering, and vector search capabilities. Optimized for early childhood disability clinical documentation (ages 0-8).
Capabilities
- Text embeddings — MiniLM for lightweight prototyping
- Multimodal embeddings — Qwen3-VL-8B for production (text, image, video)
- Zero-shot classification — Clinical assessment identification across 63+ assessments
- HDBSCAN clustering — With UMAP dimensionality reduction
- Vector search — Qdrant integration for semantic retrieval
- Cross-encoder reranking — For precision ranking of results
Ecosystem
The Kuni Plugin provides an AI agent interface layer with 5 specialist agents for clinical document analysis. Together they form a full-stack clinical intelligence system.
Part of the SSEC Research Software Engineering research portfolio.