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What AI says about E5 | Parse

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E5

What AI says about E5

Data as of Oct 6, 2026Based on 33,850 AI responsesReviewed by Dimitry Apollonsky · Oct 5, 2026

See how Parse measures this

E

Mentioned in

<1%No change

of AI answers about E5 and its rivals. Since Jul 5

The market map

Embedding Model APIs and Services

Mentioned in

1Voyage AI61% · Avg. position 10.6
2OpenAI55% · Avg. position 4.1
3Cohere44% · Avg. position 6.0
4Google Cloud Gemini Enterprise Agent Platform31% · Avg. position 7.0
6Pinecone20% · Avg. position 5.8
=7Jina AI19% · Avg. position 7.8
=7Amazon Bedrock19% · Avg. position 43.1
9MTEB (Massive Text Embedding Benchmark)14% · Avg. position 2.4
10BGE-M313% · Avg. position 6.3
=11Qwen3-Embedding12% · Avg. position 4.1
=11Ragas12% · Avg. position 4.5
=13BAAI BGE-M311% · Avg. position 27.3
=13Cohere Embed11% · Avg. position 5.8
=15Azure OpenAI Service10% · Avg. position 4.7

How often AI mentions E5

15%10%5%0%

Use the left and right arrow keys to read each date.

Embedding Model APIs and Services1%

Aug 12SepSep 30

Embedding Model APIs and Services1%

Where AI names E5

Since Jul 5

ChatGPT Search<1%
Google AI Mode

Track E5: see where AI mentions it and what to do next.

Topics AI recommends E5 for5

E5's share in each topic, as its page ranks it

Topic0%5%#

Embedding model management and deploymentEnterprise MLOps Model Registry Platforms4%=24
Open-source embedding modelsEmbedding Model APIs and Services3%=29
Enterprise embedding generationDeveloper Backend & Vector Search Services3%=45
Domain-adapted embeddingsLLM Fine-Tuning Platforms1%=58
PII redaction for LLM pipelinesLLM Security and Governance Platforms<1%=124

Other brands in Embedding Model APIs and Services

Rank

Voyage AI#1

Where E5 ranks in AI

Embedding Model APIs and Services=121

Enterprise MLOps Model Registry Platforms=101

<1%

Position in the answer

Named first0%
2nd or 3rd9%
Later91%

#2

MTEB (Massive Text Embedding Benchmark)#9

Sources AI cites

free.law (opens in a new tab)33%
lup.lub.lu.se (opens in a new tab)33%
theaiengineer.substack.com (opens in a new tab)33%

Questions

QuestionMentioned in

The problem is, our embedding API costs are too high. What's the best open-source embedding model that is fast and performs well?Mentioned in 10%
My goal is to automatically evaluate different embedding models for our specific domain. What's the best embedding model evaluation framework?Mentioned in 19%
Our semantic search misses queries using industry slang. Who provides domain-adaptation services for embedding models?Mentioned in 15%
We need to perform domain-specific search and are looking for embedding providers that offer specialized models for medical or legal documentation. Which vendors offer domain-tuned embedding APIs?Mentioned in 14%
We need to manage our embedding models and deployments. What MLOps platform has the best embedding management features?Mentioned in 12%
I want a retrieval system that re-ranks results and does not rely on basic cosine similarity.Mentioned in 5%

See where AI recommends E5