📊 CSV - Mem0 — ContextQMD

You can load any csv file from your local file system or through a URL. Headers are included for each line, so if you have an age column, 18 will be added as age: 18.

Usage

Load from a local file

python

from embedchain import App
app = App()
app.add('/path/to/file.csv', data_type='csv')

Load from URL

python

from embedchain import App
app = App()
app.add('https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv', data_type="csv")

<Note> There is a size limit allowed for csv file beyond which it can throw error. This limit is set by the LLMs. Please consider chunking large csv files into smaller csv files. </Note>