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intfloat/e5-large-v2
Sentence Similarity • 0.3B • Updated • 1.25M • • 276 -
intfloat/multilingual-e5-large-instruct
Feature Extraction • 0.6B • Updated • 1.39M • • 613 -
intfloat/e5-base-v2
Sentence Similarity • Updated • 1.7M • • 155 -
intfloat/e5-small-v2
Sentence Similarity • Updated • 829k • • 116
AI & ML interests
None defined yet.
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 29 -
aintech/vdf_20240125_130746_ac5a6_medium_articles
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aintech/vdf_20240129_162001_59275_arxiv_titles
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aintech/vdf_20240130_114906_3faa2_arxiv_abstracts
Viewer • Updated • 2.25M • 58
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KShivendu/dbpedia-entities-openai-1M
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KShivendu/wikipedia-1k-cohere-openai-embeddings
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wikimedia/wit_base
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 29
These datasets can be loaded into your vector database with a single line bash command
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 741 • 26 -
wikimedia/wit_base
Viewer • Updated • 108k • 3.15k • 67 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 101 • 2 -
Qdrant/arxiv-titles-instructorxl-embeddings
Viewer • Updated • 2.25M • 616 • 5
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intfloat/e5-large-v2
Sentence Similarity • 0.3B • Updated • 1.25M • • 276 -
intfloat/multilingual-e5-large-instruct
Feature Extraction • 0.6B • Updated • 1.39M • • 613 -
intfloat/e5-base-v2
Sentence Similarity • Updated • 1.7M • • 155 -
intfloat/e5-small-v2
Sentence Similarity • Updated • 829k • • 116
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 741 • 26 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 101 • 2 -
wikimedia/wit_base
Viewer • Updated • 108k • 3.15k • 67 -
aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 29
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aintech/vdf_PC_ANN_Fashion-MNIST_d784_euclidean
Viewer • Updated • 10k • 29 -
aintech/vdf_20240125_130746_ac5a6_medium_articles
Viewer • Updated • 5.98k • 10 -
aintech/vdf_20240129_162001_59275_arxiv_titles
Viewer • Updated • 2.25M • 59 -
aintech/vdf_20240130_114906_3faa2_arxiv_abstracts
Viewer • Updated • 2.25M • 58
These datasets can be loaded into your vector database with a single line bash command
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KShivendu/dbpedia-entities-openai-1M
Viewer • Updated • 1M • 741 • 26 -
wikimedia/wit_base
Viewer • Updated • 108k • 3.15k • 67 -
KShivendu/wikipedia-1k-cohere-openai-embeddings
Viewer • Updated • 1k • 101 • 2 -
Qdrant/arxiv-titles-instructorxl-embeddings
Viewer • Updated • 2.25M • 616 • 5