BAAI
FlagEmbedding/text2vec-bge-large-en
High-performance English embeddings for search and RAG.
Excellent retrieval accuracyCompetitive pricing (self-hosted)Strong performance on MTEB benchmarkOpen-source and actively developed
Today's score
92.0
Where it ranks today
Best for / Not great for
Best for
- English semantic search
- RAG pipelines
- Question Answering
- Document similarity
Not great for
- Production deployments without robust infrastructure
- Multilingual applications
- Users needing managed API services
Why it ranks here
The BGE series from BAAI continues to impress, especially the large English model. It offers top-tier retrieval performance, making it a popular choice for those building RAG systems in English and seeking a powerful, open-source foundation.
30-day trend
Score breakdown
Search trends93
Benchmarks94
Developer buzz93
News mentions90
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Open Source
Free model weights for self-hosting.
Free
- Downloadable model
- Commercial use allowed
- Requires own infrastructure
- Active community support
Inference API (via HF)
Managed API access for inference.
$0 /usage
- Scalable inference endpoint
- Pay per token/request
- No setup required
- Good for testing