General
- Upserts
-
Pinecone is eventually consistent, so there can be a slight delay before upserted records are available to query.
After upserting records, use the
describe_index_statsoperation to check if the current vector count matches the number of records you expect, although this method may not work for pod-based indexes with multiple replicas. - Only indexes using the dotproduct distance metric support querying sparse-dense vectors. Upserting, updating, and fetching sparse-dense vectors in indexes with a different distance metric will succeed, but querying will return an error.
- Indexes created before February 22, 2023 do not support sparse vectors.
-
Pinecone is eventually consistent, so there can be a slight delay before upserted records are available to query.
After upserting records, use the
- Metadata
- Null metadata values aren’t supported. Instead of setting a key to
null, remove the key from the metadata payload. - Nested JSON objects are not supported.
- Null metadata values aren’t supported. Instead of setting a key to
Serverless indexes
Serverless indexes do not support the following features:- Filtering index statistics by metadata
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Private endpoints
- This feature is available on AWS only.