Searching diagrams with Sentence Transformers: Nemotron Embed packs image+text into one vector
tomaarsen · x · 2026-10-22
tomaarsen shows a Sentence Transformers demo retrieving a NeMo diagram alongside text passages with the same query: both the diagram and relevant text score well above the unrelated passage, with one 2048-dimensional vector per input. It follows his ViDoRe v3 comparison numbers.
Related event: NVIDIA Open-Sources Nemotron 3.5 Retriever Suite: Embed, Rerank, Parse(12 posts)→
More from Models
- AI2's OlmoEarth embeddings beat AlphaEarth and Tessera v2 on 10 of 11 evals — allen_ai · 2026-10-22
- Developer attempts to burn through a week of Codex usage in just 4 hours — jasonkneen · 2026-10-22
- Testing decision models like Jev and Drex Max for research triage: Drex Max heads to production — omarsar0 · 2026-10-22
- LlamaIndex releases OCRia-1, a 4B document-parsing VLM claiming SOTA on ParseBench at 87.4 — llama_index · 2026-10-22
- After MoE and MTP, local dense models haven't seen architectural speedups — Express_Quail_1493 · 2026-10-22
- Claim: nation-states are adopting abliterated open-weight models like GLM-5.3 — kuza55 · 2026-10-22