Implementing Basic RAG pipeline with a backend in Flask

Niketkumardheeryan / ML-CaPsule

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Trying to show the capabilities of Retrieval-Augmented-Generation with the help of a backend built with Flask and some static HTML. Will cover a structural format of code and also with good enough documentation to reproduce the project.

Trying to break down a simple RAG pipeline into function calls.
Examples of using a model downloaded locally, downloaded at runtime from HuggingFace, API call(free) for low-end devices.
Usage of Flask for deployment-level tasks and use cases in real-time applications rather than streamlit applications.

Niketkumardheeryan / ML-CaPsule

Implementing Basic RAG pipeline with a backend in Flask #571