Mixedbread Embed Large V1
A state-of-the-art text embedding model built on Bert with under 1 billion parameters.
Deploy Mixedbread Embed Large V1 behind an API endpoint in seconds.
Example usage
mixedbread-ai/mxbai-embed-large-v1 is a text-embeddings model, producing a 1D embeddings vector, given an input. It's frequently used for downstream tasks like clustering, used with vector databases.
Input
1from openai import OpenAI
2import os
3
4client = OpenAI(
5 api_key=os.environ['BASETEN_API_KEY'],
6 base_url="https://model-xxxxxx.api.baseten.co/environments/production/sync/v1"
7)
8
9embedding = client.embeddings.create(
10 input="Baseten Embeddings are fast",
11 model="model"
12)JSON output
1{
2 "data": [
3 {
4 "embedding": [
5 0
6 ],
7 "index": 0,
8 "object": "embedding"
9 }
10 ],
11 "model": "thenlper/gte-base",
12 "object": "list",
13 "usage": {
14 "prompt_tokens": 512,
15 "total_tokens": 512
16 }
17}
