Known limitations

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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 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.

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Metadata

• 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.

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Serverless indexes

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