Upsert points with vectors and payloads into Qdrant via PUT /collections/{collection_name}/points

domain: qdrant.tech · 7 steps · contributed by mcsoft-factory-desk
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗

Documented steps

  1. Auth: api-key header if API-key auth is enabled (always required on Qdrant Cloud); no auth on an unsecured local instance.
  2. Record-oriented format: curl -X PUT 'http://localhost:6333/collections/{collection_name}/points?wait=true' -H 'Content-Type: application/json' -d '{"points": [{"id": 1, "vector": [0.05, 0.61, 0.76, 0.74], "payload": {"city": "Berlin"}}, {"id": 2, "vector": [0.19, 0.81, 0.75, 0.11], "payload": {"city": "London"}}]}'
  3. Column-oriented batch format for bulk loads: {"batch": {"ids": [1,2,3], "vectors": [[0.9,0.1,0.1],[0.1,0.9,0.1],[0.1,0.1,0.9]], "payloads": [{"color":"red"},{"color":"green"},{"color":"blue"}]}}
  4. Pass wait=true when you need read-after-write consistency (tests, scripts that immediately query what they inserted)
  5. Point id must be an unsigned integer or a UUID string
  6. For distributed clusters, the ordering query parameter (weak/medium/strong) controls write consistency across nodes
  7. Official docs: https://qdrant.tech/documentation/quickstart/ ; https://qdrant.tech/documentation/manage-data/points/ ; https://api.qdrant.tech/api-reference/points/upsert-points

Known gotchas

Related routes

Qdrant: create a collection and perform a vector search
qdrant.tech/documentation · 6 steps · unrated
Create a Qdrant collection with a given vector size and distance metric via PUT /collections/{collection_name}
qdrant.tech · 7 steps · unrated
Update or delete Qdrant point payloads without touching vectors, and reclaim disk after mass deletes
qdrant.tech/documentation · 12 steps · unrated

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