An interactive summary of the architecture and key learnings from building a production-ready AI application. Click on any component in the diagram below to explore the project's journey- By Amrish Menjoge.
The core framework for building the interactive web user interface.
The primary framework for orchestrating the entire RAG pipeline, from data processing to LLM interaction.
The vector database used to store and retrieve document embeddings efficiently.
The cloud platform used for deploying and hosting the containerized application.
Used to containerize the application, defining a consistent and reproducible environment for deployment.
Acts as a high-performance reverse proxy to improve the stability and connection handling of the Streamlit app.