feat(voyageai): rebrand to 'VoyageAI by MongoDB' and refresh model list - #1
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- Rebrand user-facing VoyageAI references to 'VoyageAI by MongoDB' in Javadoc (reranker factory methods, vectorizer/reranker class docs). - Add current VoyageAI models as constants alongside legacy ones: text2vec: voyage-4-large, voyage-4, voyage-4-lite, voyage-code-4, voyage-finance-2, voyage-law-2, voyage-context-4; multi2vec: voyage-multimodal-3.5 (legacy voyage-multimodal-3); reranker: rerank-3, rerank-3-lite, rerank-2.5, rerank-2.5-lite. - Legacy constants kept for backward compatibility.
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What & why
VoyageAI is now part of MongoDB. This updates the VoyageAI-related parts of the client accordingly and refreshes the model catalog to VoyageAI's current offerings (verified against docs.voyageai.com, Sept 2026).
(1) Open-PR review
Reviewed all open PRs on the fork (none) and upstream
weaviate/java-client(weaviate#598, weaviate#608, weaviate#609, weaviate#610, weaviate#612, weaviate#613, weaviate#616 — all by @dudanogueira). No fzowl/fzoll fork-PRs exist, so nothing to carry over.(2) Rebrand — 'VoyageAI by MongoDB'
Updated user-visible prose only:
Reranker.voyageai()/voyageai(fn)Javadoc.Text2VecVoyageAiVectorizer,Multi2VecVoyageAiVectorizer,VoyageAiRerankernaming the provider.Left untouched (not user-visible text, changing them breaks the API/wire protocol): class/method/enum identifiers and module strings such as
text2vec-voyageai,multi2vec-voyageai,reranker-voyageai. There is no website/UI/README copy in this repo mentioning VoyageAI.(3) Refreshed model list
Added current models as constants, kept legacy ones for backward compatibility (removing public constants would be a breaking change):
voyage-4-large,voyage-4,voyage-4-lite,voyage-code-4,voyage-finance-2,voyage-law-2,voyage-context-4voyage-multimodal-3.5(legacyvoyage-multimodal-3)rerank-3,rerank-3-lite,rerank-2.5,rerank-2.5-lite(4) Contextual models — scope note
The
contextualized_embedruntime API (inputs: list[str],enable_auto_chunking=true,chunk_size=32000) is part of the VoyageAI Python SDK, not this Java client. In Weaviate, embeddings run server-side in thetext2vec-voyageaimodule; the client only declares the module config (model, baseURL, truncate, dimensions). There is no client-side embed call and the module config has noenable_auto_chunking/chunk_sizefields, so those parameters are not applicable here. The contextual model itself (voyage-context-4) is now exposed as a constant. Fabricating unsupported wire fields was deliberately avoided.Validation
mvn compile— clean.mvn -Dtest=JSONTest test— 222 passed, 0 failures (serialization of these vectorizers/rerankers).git diff --stattouches only the 4 VoyageAI files.