BGE Large
by BAAI
High-quality embedding model for semantic search and retrieval.
Quick Facts
- Model Size
- 335M
- Context Length
- N/A
- Release Date
- Sep 2023
- License
- MIT
- Provider
- BAAI
- KYI Score
- 9/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 335M
- License
- MIT
- Pricing
- free
- Release Date
- September 12, 2023
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Excellent quality
- ✓Fast
- ✓MIT license
- ✓Multilingual
Cons
- !Embedding only
- !Not generative
Ideal Use Cases
Semantic search
RAG
Clustering
Similarity
BGE Large FAQ
What is BGE Large best used for?
BGE Large excels at Semantic search, RAG, Clustering. Excellent quality, making it ideal for production applications requiring llm capabilities.
How does BGE Large compare to other models?
BGE Large has a KYI score of 9/10, with 335M parameters. It offers excellent quality and fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for BGE Large?
BGE Large with 335M requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.
Is BGE Large free to use?
Yes, BGE Large is free and licensed under MIT. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
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