We made a free OpenAI-like API so you can instantly use better, open-source text embedding models.
| Model | MTEB Score | Dimensions | Seq Length | Cost per 10M tokens |
|---|---|---|---|---|
| bge-large-en | 63.98% | 1024 | 512 | $0 |
| bge-base-en | 63.36% | 768 | 512 | $0 |
| gte-large | 63.13% | 1024 | 512 | $0 |
| gte-base | 62.39% | 768 | 512 | $0 |
| text-embedding-ada-002 | 60.99% | 1536 | 8192 | $1 |
Model is the name of the model to use in the API. If it has a red background, we do not support it.
MTEB Score is the Massive Text Embedding Benchmark score. It is the average of the 10 downstream tasks in the Text Embedding Benchmark.
Dimensions is the number of dimensions of the embedding vectors. Lower is better, as it is cheaper to store in a vector DB.
Seq Length is the maximum number of tokens in a sequence. Typically anything above 256 is enough for most use cases, as most embedding models perform poorly with large chunks of text.
Cost is the cost per 10M tokens.
To keep this API free and available to as many people as possible, you may only make 1,000 requests per hour. If this is insufficient for your needs, feel free to self-host on your own infrastructure. We recommend at least 4 CPU cores and 16GB of RAM. A GPU is not required, but will speed up requests.