Create a yaml
file under the config
folder with the following parameters, let's assume fs_sandbox.yaml
:
fs:
input_dir: !!str 'string' # Full path to a folder
required_exts: # list of required extensions
- !!str .md # just an example, include the "dot" !
recursive: True|False (default)
delete_local_folder: True|False (default)
use_metadata_file: True|False (default)
saia:
base_url: !!str 'string' # Globant Enterprise AI Base URL
api_token: !!str 'string'
profile: !!str 'string' # Must match the RAG assistant ID
max_parallel_executions: !!int 5
upload_operation_log: !!bool False|True (default) # Check operations LOG for detail if enabled
The process will read files from the file system fs
section and upload them to the defined Enterprise AI
endpoint detailed on the saia
configuration.
Example execution only considering files modified since yesterday
:
saia-cli ingest -c ./config/fs_sandbox.yaml --type fs --days 1