Known limitations

This page describes known limitations and feature restrictions in Pinecone.

• 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_stats operation to check whether 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 don't support sparse vectors.

• Null metadata values aren't supported. Instead of setting a key to null, remove the key from the metadata payload.
• Nested JSON objects aren't supported.

Serverless indexes don't support the following features:

• Filtering index statistics by metadata

• Private endpoints

  • This feature is available on AWS only.