hosting

POST `/v1/vector/indexes/{indexId}/query`

Find the nearest vectors.

Ìfàṣẹ́pọ̀

Fi bọ́ọ̀lù (bearer token) ranṣẹ gẹ́gẹ́ bí kọ́kọ́rọ́ API. Kọ́kọ́rọ́ náà gbọ́dọ̀ ní ìyọ̀ǹda vector.manage; a ó kọ̀ ọ́ silẹ pẹlu 403, kii ṣe 404, ti kọ́kọ́rọ́ náà kò bá ní i.

Ojú abánisọ̀rọ̀ yìí kò gba id ajọ kankan. Kọ́kọ́rọ́ rẹ ti mọ ajọ ti o jẹ ti e, a o si fèsì nipa rẹ̀.

Gbiyanju rẹ

Rọ́pọ̀ èyíkéyìí nínú àwọn àmì ìtọ́ka < > pẹ̀lú iye tirẹ̀, àti àmì ìdánimọ̀ bọ́tìnnì náà pẹ̀lú bọ́tìnnì kan láti inú dásibọ̀ọ̀dù rẹ.

curl -X POST https://api.zinndigital.com/v1/vector/indexes/{indexId}/query \
  -H "Authorization: Bearer zdk_live_…" \
  -H "Content-Type: application/json" \
  -d '{ "values": <number[]> }'

Ṣé o ti wọlé? Iwọ̀n api ní nú ìgbékalẹ̀ rẹ kún id àjọ gidi rẹ ati bọtini tirẹ, o si nṣiṣẹ ibeere na lòdì si api gidi ki o le rii esi gidi na. Ṣí ojú abáná yìí sílẹ̀ nínú kọnsólù API

Àwọn kúlẹ̀kúlẹ̀

Returns the `top_k` nearest vectors, nearest first, optionally restricted to those whose metadata contains `filter`. `distance` is in the index's own metric, so smaller is always nearer whichever metric you chose. ⛔ A query **spends the plan's monthly query allowance**, which is why it requires `vector.manage` rather than `vector.view` — a read that costs money is not a read.

Àwọn ìpìlẹ̀

Orúkọ	Iru	Tí a nílò	Kini o jẹ
`indexId (path)`	`string`	Bẹẹni	The index's id.

Akoonu ibeere naa

Orúkọ	Iru	Tí a nílò	Kini o jẹ
`values`	`number[]`	Bẹẹni	The query vector — exactly `dimension` values.
`top_k`	`integer`	Bẹẹkọ	—
`filter`	`object`	Bẹẹkọ	Restrict the search to vectors whose metadata contains these keys and values. Containment, not equality of the whole object, so a filter naming one key matches a vector carrying…

Idahun

Orúkọ	Iru	Tí a nílò	Kini o jẹ
`matches`	`object[]`	Bẹẹni	—

Awọn aṣiṣe ti ibudo ipari yii le da pada

401 · 403 · 404 · 422 · 429

POST /v1/vector/indexes/{indexId}/query