• Introduction
• Tools Used
• Getting Started

This project implements a custom question-answering chatbot powered by LangChain and provides an API via FastAPI for access.

• Langchain: Framework for building conversational AI systems.
• FastAPI: FastAPI is a modern, fast (high-performance), web framework for building APIs with Python

To run the project locally, follow these steps:

1. Clone the repository to your local machine.
2. Install the necessary dependencies listed in the requirements.txt file.
3. Run the application by executing uvicorn app.main:app --port {} --reload in your terminal.
4. The /qa endpoint needs to be passed two files as an input.
   1. a JSON file containing a list of questions that needs to be answered using LLM. e.g. {"questions": ["question1", "question2" ...]}
   2. a JSON or PDF having the content over which questions need to be answered. In case of a JSON file, it must have a content like this {"content": "long piece of text ..."}
5. Use the sample input files located in the tests folder to test the API.