Microsoft (via Hugging Face)
E5-large-v2
Robust open-source embeddings for diverse search tasks.
Strong performance on retrieval benchmarWidely adopted in researchGood general-purpose semantic understandOpen-source availability
Today's score
94.0
Where it ranks today
Best for / Not great for
Best for
- General semantic search
- RAG implementations
- Academic research
- Fine-tuning for specific domains
Not great for
- Multilingual use cases without specific fine-tuning
- Highly optimized, low-latency production systems without significant engineering
- Users who prefer managed commercial APIs
Why it ranks here
E5-large-v2 remains a benchmark standard in the open-source community for retrieval tasks. Its solid performance and accessibility via Hugging Face continue to make it a popular choice, especially for researchers and developers building custom RAG systems who can leverage its flexibility.
30-day trend
Score breakdown
Search trends96
Benchmarks95
Developer buzz93
News mentions93
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Open Source
Free and accessible model weights.
Free
- Model weights available
- Self-hosting required
- Community support
Cloud Provider Inference
Deploy on your preferred cloud.
Custom
- Pay for compute resources
- Scalable infrastructure
- Managed deployments