RAG chunking playground: visualize how your docs get split
Visual chunking comparison beats guessing — export production-ready code.

Hearing the semantic/acoustic split of neural audio codecs directly in your browser is wild.
ML engineers, audio developers, curious technologists
Hugging Face Spaces · Kyutai Moshi · TensorFlow.js Audio
Visual chunking comparison beats guessing — export production-ready code.
Writes wikilinks directly into files—no database, no daemon, just markdown.
Non-LLM deterministic semantic decomposition—14ms, no hallucination, MCP-ready.
The architecture is the project's real showpiece: a 72-band non‑uniform band-split BiMamba U‑Net that uses Mamba scans for O(T) memory and interleaved attention in the bottleneck to mix cross‑frequency context — a clever tradeoff between temporal efficiency and global attention. The author ships a runnable demo and an explanatory write-up so you can reproduce the approach, but it's clearly hobby-scale (≈1k songs trained, single home PC queue, slow cold starts), so expect experimental results rather than SOTA separation or instant throughput.
Gemini video embeddings for dashcam search when Google Photos already indexes footage.
AI-coded Python interpreter is impressive, but mostly novelty without real use case.