Known limitations

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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_stats operation 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.
• 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.

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Serverless indexes

• Filtering index statistics by metadata
• Private endpoints
  • This feature is available on AWS only.