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BGE-M3

Embeddings
baai/bge-m3

1024 dimensions · Jan 2024 · 1 upstreams

BAAI's BGE-M3 is a multilingual text embedding model that handles dense, sparse, and multi-vector retrieval in one model, across 100+ languages and an 8,192-token input window. It returns a 1,024-dimension dense vector.

Bring your own keyAnyRouter has no platform route for BGE-M3. Requests use your key and bill your provider account. AnyRouter adds no fee.
max input
8K
dimensions
1024
input / 1M (list)
$0.01
routes
1

Upstreams

1
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Try it

Embed a sentence

Details

Owner
Baai
Kind
Embeddings
Released
Jan 2024
Context
8K
Data policy
Provider retention
Endpoint
/api/v1/embeddings

Quick start

curl https://anyrouter.dev/api/v1/embeddings \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "baai/bge-m3",
    "input": "The quick brown fox jumps over the lazy dog"
  }'