[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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