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Sentence-transformers.org

Recommended by ChatGPT across 4 prompt topics people ask about
0
ESTIMATED
ChatGPT referrals / mo
Prompt topics
4
Monthly ChatGPT prompts
32
Est. value / mo
$0
Avg rank
10.50
These aren't logged prompts (ChatGPT doesn't share those). They're the commercial topics people ask ChatGPT to recommend products for, sized from real search demand and verified by running each one through ChatGPT. How we estimate this.

Prompts where ChatGPT recommends Sentence-transformers.org

Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.

Which open source embedding model is best? rank 5 0 /mo What are the best open source embedding models for RAG? rank 11 0 /mo What are the best open source embeddings? rank 12 0 /mo What's the best open source text embedding model? rank 14 0 /mo

Also occasionally recommended

ChatGPT named Sentence-transformers.org here in only some runs (below our 2-of-5 confidence bar), so these earn no estimated traffic, but they show where it occasionally surfaces this site.

Which sentence transformer model is best? seen rank 2 1 of 5 runs Which NLP tools are best? seen rank 7 1 of 5 runs What are the best LLM embedding models? seen rank 9 1 of 5 runs What are the best NLP models for text classification? seen rank 10 1 of 5 runs What are the best multilingual embeddings? seen rank 10 1 of 5 runs What's the best Hugging Face model for text classification? seen rank 14 1 of 5 runs What's the best multilingual embedding model? seen rank 15 1 of 5 runs What's the best pre trained model for sentiment analysis? seen rank 15 1 of 5 runs What's the best embedding model for semantic search? seen rank 16 1 of 5 runs Which embedding model for code is best? seen rank 16 1 of 5 runs What's the best NLP framework? seen rank 17 1 of 5 runs

Different ways people phrase this prompt. We merge them into one category, and the full ranking covers them all.

View full details for this prompt →
    View full details for this prompt →

    Proof: a real ChatGPT answer

    One of the 5 runs for Which open source embedding model is best?, verbatim.

    ChatGPT:
    1. huggingface.co
    2. github.com
    3. openai.com
    4. microsoft.com
    5. google.com
    6. cohere.com
    7. sentence-transformers.org ← this site
    8. sbert.net

    Where Sentence-transformers.org ranks

    How often ChatGPT places this site at each position across its prompt topics.

    #5
    most common spot
    0%
    of the time in the top 3
    #1
    0
    #2
    0
    #3
    0
    #4
    0
    #5
    1
    #6
    0
    #7
    0
    #8
    0
    #9
    0
    #10
    0
    #11
    1
    #12
    1
    #13
    0
    #14
    1
    #15
    0
    #16
    0
    #17
    0
    #18
    0
    #19
    0
    #20
    0

    Who else ChatGPT recommends

    Sites that come up for the same prompts as Sentence-transformers.org, ranked by how many topics they share.

    openai.com
    4 shared
    huggingface.co
    4 shared
    pytorch.org
    4 shared
    tensorflow.org
    4 shared
    arxiv.org
    4 shared
    cohere.com
    4 shared
    github.com
    4 shared
    mistral.ai
    3 shared
    qdrant.tech
    2 shared
    weaviate.io
    2 shared
    pinecone.io
    2 shared
    ollama.com
    2 shared
    milvus.io
    2 shared
    voyageai.com
    2 shared
    allenai.org
    2 shared
    google.com
    2 shared
    langchain.com
    2 shared
    nomic.ai
    2 shared
    fastembed.ai
    2 shared
    sbert.net
    2 shared
    How is this estimated?

    ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →