How do you handle upserts and deletes at scale in Pinecone?
RAG & Vector DB Interview: Pinecone Pods, Serverless, Namespaces, Metadata Filters
Audio flashcard · 0:28Nortren·
How do you handle upserts and deletes at scale in Pinecone?
0:28
Pinecone upserts insert or overwrite vectors by ID in batches, typically 100 to 1000 vectors per request for best throughput. Deletes can target specific IDs, all vectors in a namespace, or filtered subsets by metadata. Writes are eventually consistent, so a just-written vector may not appear in queries for a short window, typically under a second in serverless indexes. For high-volume ingest, use concurrent batches and the async client, and monitor index stats to confirm vector counts reach expected values.
docs.pinecone.io