[DEPRECATED] Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini avaliações
600 avaliações
Gautam P. · Revisado há over 1 year
JEAN BAPTISTE P. · Revisado há over 1 year
Carisa Lia B. · Revisado há over 1 year
Felipe L. · Revisado há over 1 year
NTLK issues
Srinivasa Murthy K. · Revisado há over 1 year
sudheendra U. · Revisado há over 1 year
Juan Carlos B. · Revisado há over 1 year
guru p. · Revisado há over 1 year
Mohamed Ali B. · Revisado há over 1 year
A recent update needed nltk to 3.8.1.
Arijit D. · Revisado há over 1 year
Michael Josil M. · Revisado há over 1 year
Subham kr M. · Revisado há over 1 year
Carisa Lia B. · Revisado há over 1 year
Carisa Lia B. · Revisado há over 1 year
Carisa Lia B. · Revisado há over 1 year
Carisa Lia B. · Revisado há over 1 year
Binod T. · Revisado há over 1 year
哲郎 横. · Revisado há over 1 year
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Enrique S. · Revisado há over 1 year
Mir Nayeem U. · Revisado há over 1 year
No, I'm not received enough time. # This step will take up to 20 minutes to complete # You can view the deployment in the Vertex AI console on the "Vector Search" tab # Wait for this cell to complete before proceeding index_endpoint = index_endpoint.deploy_index( index=index, deployed_index_id="vertex_index_deployment" )
Sharifah R. · Revisado há over 1 year
Juan Carlos B. · Revisado há over 1 year
I encountered errors when running the notebook but found the following workaround: 1. Define an environmental variable `NLTK_DATA` as `os.environ["NLTK_DATA"] = "/home/jupyter/nltk_data"` 2. Manually download the following two corpora from NLTK (https://www.nltk.org/nltk_data/) to local and then upload to the NLTK_DATA accordingly: `punkt_tab`, `averaged_perceptron_tagger_eng`.
Nobuhiko O. · Revisado há over 1 year
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