Upsert documents with user-provided vectors directly into a namespace. This bypasses the collection/batch/extractor pipeline entirely. Documents go directly to the vector store. Maximum 1000 documents per call.
Mixpeek API key, sent as Authorization: Bearer mxp_sk_.... Create one in Studio under Settings → API Keys, or with an admin key via POST /v1/organizations/users/{user_email}/api-keys. A missing, malformed, unknown, revoked, inactive or expired key returns 401; a key without the permission, scope or plan an operation needs returns 403.
Target collection. Documents are tagged with this collection_id so they appear in collection-scoped queries, list, and clustering. When omitted a namespace-level default collection is used.
document_id -> payload field names that were REMOVED before storage because they collide with reserved internal field names. Their values are not stored anywhere and are not readable back. Rename the field (e.g. 'source_type' -> 'my_source_type') or nest it under 'metadata' to keep the value. Empty when nothing was dropped.
document_ids that were stored but carry no vector for the collection's declared index, so a retriever search will not return them until you provide a vector for that index or run the collection's extractor. The documents are readable by list and get; they are only absent from search. Empty when every document is searchable.
Advisories about this write that did not fail it: today, that the idempotency replay entry could not be stored, so a retry with the same idempotency_key would write again.
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