semvec/pypi-packages huggingface dataset:
pinecone-notebooks 0.1.1
Helpers for using Pinecone with notebooks
License: Apache-2.0
Requires Python: <4.0,>=3.10
Keywords: Pinecone, vector, database, cloud, jupyter, colab, notebooks

# Pinecone helpers for notebooks
This package contains helper functions for working with Pinecone in the context of a Jupyter or
Google Colab notebook.

## Google Colab
### Authenticate
This helper function displays a widget to allow the user to authenticate with Pinecone. Once the
user authenticates, they are prompted to select the Pinecone organization and project that they want
to grant access to. An API key is then generated and set as the environment variable
`PINECONE_API_KEY`.
#### Usage
To display the authentication widget:
```py
from pinecone_notebooks.colab import Authenticate

Authenticate()
```
Note that any usage of the API key should take place in a later cell. The user must complete the
authentication flow before the `PINECONE_API_KEY` environment variable can be used.
```py
from pinecone import Pinecone

api_key = os.environ.get('PINECONE_API_KEY')
pinecone_client = Pinecone(api_key=api_key)

# ... proceed to use pinecone_client to create indexes, upload data, query, etc.
```
##### source_tag
The `Authenticate` function has an optional `source_tag` parameter. Pinecone partners should set
this value to receive attribution credit for users of their notebooks who signup to Pinecone.
```py
from pinecone_notebooks.colab import Authenticate

Authenticate(source_tag='MyAwesomeApp')
```

## Jupyter
Coming soon!