Insurance Assistant Gen-AI

Demo app for insurance assistant using AWS Bedrock

Steps to build and run the application:

• Install and configure AWS toolkit. Create s3 bucket and upload file in it before testing the application.
• Anaconda Navigator Download - https://docs.anaconda.com/free/anaconda/install/windows/
• Open VS Code from Anaconda Navigator – Very Important
• Install boto 3 - pip install boto3
• Install Langchain – pip install langchain
• Install Streamlit – pip install streamlit
• pip3 install flask-sqlalchemy
• pip install pypdf
• pip install faiss-cpu (depending on Python version).
• pip install unstructured
• pip install "unstructured[pdf]"
• Once installation is completed. Execute command "streamlit run rag_fronted.py" is terminal.

Reference:

• https://www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced
• https://www.coursera.org/learn/generative-ai-with-llms
• https://python.langchain.com/docs/integrations/platforms/aws
• https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock.html#bedrock
• https://docs.streamlit.io/library/cheatsheet