Get the embedding vector for a paragraph

curl --request GET \
  --url https://api.urantia.dev/embeddings/{ref}

{
  "data": {
    "standardReferenceId": "<string>",
    "model": "<string>",
    "dimensions": 123,
    "embedding": [
      123
    ]
  }
}

Embeddings

Get Embedding

Returns the embedding vector for a single paragraph.

Use ?model=large (default) for the 3072-dimensional text-embedding-3-large vector — the canonical embedding used by the cross-references feature. Use ?model=small for the 1536-dimensional text-embedding-3-small vector that powers /search/semantic.

The response includes model and dimensions fields so consumers can detect mismatches if they store vectors locally and compare against new responses. The X-Embedding-Model response header carries the same signal for byte-streaming clients.

GET

embeddings

{ref}

Get the embedding vector for a paragraph

curl --request GET \
  --url https://api.urantia.dev/embeddings/{ref}

{
  "data": {
    "standardReferenceId": "<string>",
    "model": "<string>",
    "dimensions": 123,
    "embedding": [
      123
    ]
  }
}

Path Parameters

ref

string

required

Query Parameters

model

enum<string>

default:large

Available options:

small,

large

Response

Embedding vector

data

object

required

Show child attributes

Generate OG Image Export Embeddings

Overview

Table of Contents

Papers

Paragraphs

Entities

Search

Bible

Audio

Citation

OG Images

Embeddings

Get Embedding

Path Parameters

Query Parameters

Response

Overview

Table of Contents

Papers

Paragraphs

Entities

Search

Bible

Audio

Citation

OG Images

Embeddings

Documentation Index

Path Parameters

Query Parameters

Response