Setup to run the LangChain examples

Setup

Note

This is required if you want to run the examples yourself (recommended).

Make sure complete the general setup before proceeding with this tutorial.

Go to docs/frameworks/langchain.

Create a Python 3.8+ virtual environment, activate it and install dependencies with:

pip install -r requirements_langchain.txt

Info

Pending a PR to upstream, the current requirements file temporarily installs LangChain from a fork we maintain.

Launch

Make sure you are in docs/frameworks/langchain and the virtual environment is active.

Source the API Key configuration with

. ../../../.api_keys

Now fire up Jupyter with:

jupyter notebook

and wait for a browser window to open with the notebooks in this directory, ready to run.

Database choice

In most notebooks you'll find a cell where the two calls getCQLSession and getCQLKeyspace take place. You can switch between the Astra DB instance and the local database (if you have one) by changing the value of the variable cqlMode therein from astra_db to local.