RAG (Retrieval-Augmented Generation) applications enable querying of unstructured data, including PDF files, by converting them into word embeddings and then into vectors. This allows for efficient similarity searches when a user inputs a specific query. The use of API Keys is essential, regardless of the model being used.
Build and deploy a RAG application to allow user interaction with the 2023 EABL financial report.
The user has to use their own API KEYS which can be found here
The Streamlit application has a simple UI and only requires an OPEN AI KEY as the input. The data can be found in the repo for further understanding before running the queries.
Below is the deploymnet screenshot
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To run the model locally, run the command pip install requirements.txt to install the required dependencies.