bCourses Support ChatBot

Gen AI based bCourses support chatbot POC This repository contains the code for a Streamlit-based chatbot application using LangChain and AWS Bedrock.

Features

• Conversational AI powered by Anthropic Claude via Bedrock.
• Retrieval-augmented generation (RAG) using Amazon Knowledge Bases.
• Configuration-based environment management.
• Streamlit interface for easy interaction.

Setup Instructions

Clone the Repository:

git clone https://github.com/ets-berkeley-edu/bcourses-chatbot-poc.git
cd bcourses-chatbot-poc

• Install Python 3
• Create your virtual environment (venv)
• Install dependencies

pip3 install -r requirements.txt [--upgrade]

Configure Environments

export APP_ENV=development
export APP_LOCAL_CONFIGS=~/Volumes/XYZ/bcourses_chatbot_poc_config

Run Streamlit Application

streamlit run app/main.py

Testing

Set your environment variables for Langsmith

export LANGSMITH_TRACING=true  
export LANGSMITH_ENDPOINT="https://api.smith.langchain.com"   
export LANGSMITH_API_KEY="your_api_key"

Then run the test script(s):

python scripts/run_evaluation.py --dataset [data_set_name]