Contextual AI ships final contextual embedding models: 0.6B sharing 9B's embedding space
antoine_chaffin · x · 2026-11-03
Contextual AI's Antoine Chaffin announces the final release of their contextual embedding models, which tackle RAG's chunking problem: a new 0.6B model shares the embedding space of the 9B model, plus a public benchmark and a thorough tech report. He claims standout multimodal retrieval results, making it the best option for multimodal retrieval without multi-vector indexes (self-admittedly biased).
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