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Exploring Machine Learning features in data catalogs (Part 2)

amercader.net · published 23 January 2024

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Exploring Machine Learning features in data catalogs (Part 1) Read at the source ↗
amercader.net
https://www.sbert.net/examples/applications/computing-embeddings/README.html
sbert.net
https://platform.openai.com/docs/guides/embeddings
platform.openai.com
https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings
cloud.google.com
https://huggingface.co
huggingface.co
https://github.com/amercader/ckanext-embeddings/blob/main/ckanext/embeddings/backends.py
github.com
https://github.com/pgvector/pgvector
github.com
https://github.com/pgvector/pgvector-python
github.com
https://solr.apache.org/guide/solr/latest/query-guide/dense-vector-search.html
solr.apache.org
https://github.com/ckan/ckan-solr
github.com
https://github.com/amercader/ckanext-embeddings/blob/2267945532ad3dbbf7a223171dedcea8745a5493/ckanext/embeddings/plugin.py
github.com
https://github.com/amercader/ckanext-embeddings/issues/1
github.com
https://github.com/amercader/ckanext-embeddings/issues/2
github.com
https://github.com/amercader/ckanext-embeddings
github.com