• multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
• embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.

In-VPC deployment removes the data egress objection to hosted embeddings, usually the blocker for retrieval over regulated or sensitive corpora.

• postVoyage's rerankers start taking instructions at query time
• postWhy code retrieval benchmarks mislead, and how to rebuild them
• postWhen embedding a chunk should include the whole document
• postLong context windows do not fix LLM reranking

• postVoyage 4 shares one embedding space across large, lite and nanoVoyage AI by MongoDB
• postVoyage 4 puts every model size in one embedding spaceVoyage AI by MongoDB
• postvoyage-multilingual-2 targets non-English retrieval with 32K contextVoyage AI by MongoDB

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