ChromaDB
Vannus records that this vendor routes across several model providers — not captured by one. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Open-source vector database for embeddings. Stores and queries vectors with metadata filtering, commonly used as the retrieval layer in RAG applications.
Chroma's default embedding function uses the Sentence Transformers all-MiniLM-L6-v2 model to create embeddings.
The quote above names one provider. The multi-provider finding rests on the vendor’s full disclosure — all-MiniLM-L6-v2 default (pluggable) — not on that line alone.
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
ChromaDB publishes a list of the other companies it uses to process customer data. It names 16 of them, each shown below with the location the vendor lists it under, in the vendor’s own words.
Taken together those entries name at least EU, USA. That is what our place list could match in the vendor’s own words above, so treat it as a floor rather than the whole of it — the entries themselves are the record.
These are other companies, not ChromaDB. Where a sub-processor is listed as operating is a fact about that company. It is not a statement about where ChromaDB keeps your data, which Vannus publishes separately and only from a document in which the vendor says so.
Read from trychroma.com on 2026-09-16. Every entry above is a verbatim span of that page.
This is the vendor’s own disclosure, reproduced. Vannus has not audited what any of these companies do with your data, and a list can change without notice. Treat it as a starting point for your own review, not a legal determination, and take advice on anything that matters.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →