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BGE Large EN v1.5

Model Information

Display Name: BGE Large EN v1.5

API Model ID: BAAI/bge-large-en-v1.5

Category: Text To Embedding

Description: BGE (BAAI General Embedding) Large model for high-quality English text embeddings. Superior accuracy for demanding applications. **Key Features:** - 1024-dimensional embeddings - Best-in-class English performance - Higher accuracy than base model - Excellent for complex retrieval **Use Cases:** - High-precision semantic search - Enterprise RAG systems - Complex document matching - Academic/research applications **Performance:** - MTEB benchmark: Top-tier English results - Best choice when accuracy matters most

Context Window: 512 tokens

How to Use This Model

To use BGE Large EN v1.5 via the HInow.ai API, use the model ID: BAAI/bge-large-en-v1.5

API Request Example (Chat/Text)


POST https://api.hinow.ai/v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "BAAI/bge-large-en-v1.5",
  "messages": [
    {"role": "user", "content": "Your message here"}
  ]
}

Pricing

  • input: $1.35

Quick Reference

To use this model, set: "model": "BAAI/bge-large-en-v1.5"

Featured: No

Documentation: https://hinow.ai/models/BAAI/bge-large-en-v1.5

API Endpoint: https://api.hinow.ai/v1

Back to Models

BGE Large EN v1.5

BAAI/bge-large-en-v1.5

$1.35
input

About

BGE (BAAI General Embedding) Large model for high-quality English text embeddings. Superior accuracy for demanding applications.

Key Features:

  • 1024-dimensional embeddings
  • Best-in-class English performance
  • Higher accuracy than base model
  • Excellent for complex retrieval

Use Cases:

  • High-precision semantic search
  • Enterprise RAG systems
  • Complex document matching
  • Academic/research applications

Performance:

  • MTEB benchmark: Top-tier English results
  • Best choice when accuracy matters most

Capabilities

Text To Embedding
Context1K tokens

Code Examples

curl -X POST https://api.hinow.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $HINOW_API_KEY" \
  -d '{
    "model": "BAAI/bge-large-en-v1.5",
    "input": "Your input here"
  }'