GET

/v1/schemas/neon/embeddings/v1/embeddings

Accept:

kind inputactivity embeddingshash e3ea595c…extracted Nov 5, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. generated Source trace `898eefefea6b5dc52da42f5628a64a0ffba65d850282e1cb59ab459f7e356f92` { "fetchedAt": 1793856077, "extractorVersion": "1", "verifiedAt": null }

Request body

5 properties · 2 required · 0 $defs

property	type	description	constraints
input*	string \| string[] \| integer[] \| …	Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for all embedding models), c…
model*	string \| enum	ID of the model to use. You can use the [List models](https://developers.openai.com/api/reference/resources/models/methods/list) API to see all of your available models, or see our [Model overview](https://developers.openai.com/api/docs/models) for description…
encoding_format	enum	The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).	float \| base64 · default: "float"
dimensions	integer	The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.	n ≥ 1
user	string	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://developers.openai.com/api/docs/guides/safety-best-practices#implement-safety-identifiers).

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"neon","endpointId":"v1/embeddings","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}