Iugu is a Brazilian services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.
This notebook covers how to load data from the
Iugu REST API into a format that can be ingested into LangChain, along with example usage for vectorization.
import os from langchain.document_loaders import IuguLoader from langchain.indexes import VectorstoreIndexCreator
The Iugu API requires an access token, which can be found inside of the Iugu dashboard.
This document loader also requires a
resource option which defines what data you want to load.
Following resources are available:
iugu_loader = IuguLoader("charges")
# Create a vectorstore retriver from the loader # see https://python.langchain.com/en/latest/modules/indexes/getting_started.html for more details index = VectorstoreIndexCreator().from_loaders([iugu_loader]) iugu_doc_retriever = index.vectorstore.as_retriever()