The S3 Vectors ingestion embedded every chunk with the request's
embedding.model or the default, never the embedding_model the store was
registered with, while search on the same store embeds with the
registered model. A registered store uploaded to by id alone therefore
embedded with the wrong model and AWS rejected the vectors on the
dimension mismatch. The store's embedding model now wins for S3 Vectors
ingestion through a helper next to the one search already uses
A "bucket:" or ":index" id split into an empty name, so ingestion silently
generated a fresh index and search sent the empty name to AWS. Both sides now
raise the existing format error through the shared helper.
A registered S3 Vectors store usually carries only its "bucket:index" id,
and the previous commit stopped forwarding the caller's bucket and index for
a managed store, so ingesting into one raised KeyError 'vector_bucket_name'.
The ingestion now derives both from vector_store_id with the rule the search
side already uses, explicit keys still winning. The caller's
litellm_credential_name is dropped for a managed store too, since it expands
into api_key and api_base, and max_embedding_requests_per_min joins the
per-upload options a caller may still set.
/v1/rag/query folded the registry store's litellm_params into retrieval_config,
where the caller allowlist dropped api_key, api_base, and provider extras such
as Milvus outputFields and milvus_text_field, so a managed Milvus store 500'd
with MILVUS_API_KEY is not set while the direct search endpoint worked. The
store's params now travel as a trusted vector_store_params argument straight to
the search call, never through the completion kwargs, and the caller allowlist
stays in place.
rag_query reuses the store resolved during authorization instead of a
second registry lookup, merges registry data store-wins so callers
cannot override a managed store's provider or credentials, and logs ids
instead of the merged config, which can carry resolved credentials.
aquery forwards only allowlisted retrieval_config keys to vector store
search, keeping caller-supplied connection overrides like api_base and
api_key away from the search call
