Bge En Icl

by BAAI

Embedding
BGE-EN-ICL is a large language model-based English embedding model developed by BAAI, notable for its integration of in-context learning (ICL) capabilities. By incorporating few-shot examples directly into queries, it enhances semantic representations and adapts effectively to new tasks without additional fine-tuning. This approach has led to state-of-the-art performance on benchmarks such as BEIR and AIR-Bench, demonstrating its efficacy in zero-shot and few-shot retrieval scenarios.
Provider
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Max Output
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Cost

Data reflects historical performance over the past days.

API Usage

Seamlessly integrate our API into your project by following these simple steps:

  1. Generate your API key from your profile.
  2. Copy the example code and replace the placeholder with your API key or see our documentation.

You can choose from three automatic provider selection preferences:

  • speed – Prioritizes the provider with the fastest response time.
  • cost – Selects the most cost-efficient provider.
  • balanced – Offers an optimal mix of speed and cost.

API Usage