---
title: "Get Embedding Model by Name"
method: GET
path: "/models/embedding/{model_name}"
tags: ["Models"]
---

# Get Embedding Model by Name

`GET /models/embedding/{model_name}`

Get detailed information about a specific embedding model by its name.

## Path parameters

- `model_name` string, required

## Headers

- `authorization` string, nullable
- `x_session_token` string, nullable

## Response `200`

Successful Response

- EmbeddingModelRead — Schema specifically for reading embedding model information.
  - `name` string, required — Name of the embedding model
  - `provider` string, required — Provider of the model (e.g., openai, cohere, google)
  - `embedding_dimensions` integer, required — Dimension of the embedding vectors
  - `context_limit` integer, required — Maximum context window size in tokens
  - `last_updated` string, date-time, nullable — Last time the model was updated

## Other responses

- `422` — Validation Error

---

[API](https://skmtc.dev/backboard/apis/backboard-api.md) · [All operations](https://skmtc.dev/backboard/apis/backboard-api/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/backboard/backboard-api/revisions/e732d11ca11a/schema)