Microsoft/NYU
e5-large-v2
Robust and efficient embeddings with strong retrieval capabilities.
Excellent retrieval performanceOpen-source and widely accessibleGood balance of speed and accuracy
Today's score
95.0
Where it ranks today
Best for / Not great for
Best for
- Question answering systems
- Document retrieval
- Semantic similarity tasks
- RAG with open-source stacks
Not great for
- Multilingual tasks without specific fine-tuning
- Extremely long text inputs
- Classification tasks out-of-the-box
Why it ranks here
The e5-large-v2 model remains a top contender due to its strong performance in retrieval benchmarks and its open-source nature, making it highly popular for RAG and semantic search applications. Its efficiency and good performance make it a reliable choice for many developers.
30-day trend
Score breakdown
Search trends96
Benchmarks95
Developer buzz97
News mentions93
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Free
Open-source model for self-hosting.
Free
- Downloadable model weights
- Full control over deployment
- Community support
- Customizable
Cloud Hosting
Managed hosting for ease of use.
$5/mo
- Managed infrastructure
- Scalable deployment
- API access
- Support included