关于“[DEPRECATED] Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini”的评价

Gautam P. · 已于 over 1 year前审核

JEAN BAPTISTE P. · 已于 over 1 year前审核

Carisa Lia B. · 已于 over 1 year前审核

Felipe L. · 已于 over 1 year前审核

NTLK issues

Srinivasa Murthy K. · 已于 over 1 year前审核

sudheendra U. · 已于 over 1 year前审核

Juan Carlos B. · 已于 over 1 year前审核

guru p. · 已于 over 1 year前审核

Mohamed Ali B. · 已于 over 1 year前审核

A recent update needed nltk to 3.8.1.

Arijit D. · 已于 over 1 year前审核

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Mir Nayeem U. · 已于 over 1 year前审核

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. · 已于 over 1 year前审核

Juan Carlos B. · 已于 over 1 year前审核

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. · 已于 over 1 year前审核