This repository contains a set of Jupyter Notebooks and other assets that walk through the use of the Factiva Retrieval API service offered by Dow Jones.
The notebooks in this repository rely on packages specified in the requirements.txt file. If seeting up a new Python environment, please run:
$ pip install -r requirements.txtThis service provides the retrieval functionality that returns news articles as part of the trusted data sources in a RAG stack. This is an intermediate step in a fully grounded Question-Answer solution based on LLMs.
The notebook 1_get_chunks shows the step by step process of retrieving content and process an answer using Google Gemini by consuming a Google Cloud Vertex AI endpoint.