Ecommerce Embeddings for better shopping search

Introducing Mighty Ecommerce - the best embedding model for your store's site-search.

Enables customers to find the products they're looking for more quickly, leading to higher satisfaction rates and increased sales.

High Precision and Recall. Outperforms other embedding models by a wide margin.

Really Fast, no GPU needed! Up to 180 embeddings per second on a single CPU core.

Flexible experience.Designed for Mobile, Tablet, and Desktop result pages.

Deploy in your stack with zero lock-in. Build your store on your terms, not someone else's expensive API.

Easily plug it in to your existing site-search with Mighty connectors!

Contact us for details!

Latency and Throughput Profile

Example for 10,000 query requests, using only one CPU core.

Add as many cores as needed for linear scalability!

Latency: Returns vectors in 8 milliseconds

Throughput: 136 queries per second

Summary:
  Total:  73.2846 secs
  Slowest:  0.0119 secs
  Fastest:  0.0071 secs
  Average:  0.0073 secs
  Requests/sec: 136.4544
  
  Total data: 619100001 bytes
  Size/request: 61910 bytes

Response time histogram:
  0.007 [1]   |
  0.008 [9358]|■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■
  0.008 [637] |■■■
  0.009 [2]   |
  0.009 [0]   |
  0.010 [0]   |
  0.010 [0]   |
  0.010 [0]   |
  0.011 [0]   |
  0.011 [1]   |
  0.012 [1]   |


Latency distribution:
  10% in 0.0073 secs
  25% in 0.0073 secs
  50% in 0.0073 secs
  75% in 0.0073 secs
  90% in 0.0074 secs
  95% in 0.0076 secs
  99% in 0.0078 secs

Details (average, fastest, slowest):
  DNS+dialup: 0.0000 secs, 0.0071 secs, 0.0119 secs
  DNS-lookup: 0.0000 secs, 0.0000 secs, 0.0005 secs
  req write:  0.0000 secs, 0.0000 secs, 0.0011 secs
  resp wait:  0.0073 secs, 0.0071 secs, 0.0109 secs
  resp read:  0.0000 secs, 0.0000 secs, 0.0007 secs

Status code distribution:
  [200] 10000 responses

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Connects to any Vector Search Engine!

Accuracy Results*

Model	ndcg@1	ndcg@4
max.io/ecommerce-encoder-v01 (Ours)	0.77	0.73
sentence-transformers/all-MiniLM-L6-v2	0.68	0.65

*nDCG for Amazon-Science ESCI ranking benchmark.

Bundle it with a Mighty cross-encoder for even better results!

Contact us for details!

Introducing Mighty Ecommerce - the best embedding model for your store's site-search.

Latency and Throughput Profile

Connects to any Vector Search Engine!

Accuracy Results*

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