# KnowFlow AI Architecture

## High-Level Flow

User uploads documents  
-> Document loader extracts text  
-> Text cleaner normalizes content  
-> Chunker splits text into retrieval units  
-> Embedding model converts chunks into vectors  
-> ChromaDB stores vectors locally  
-> Retriever finds relevant chunks  
-> Prompt builder creates RAG prompt  
-> Cloud LLM generates grounded answer  
-> Streamlit displays answer and sources

## Main Components

- Streamlit UI
- Document ingestion layer
- Chunking layer
- Embedding layer
- Vector database layer
- Retrieval layer
- Cloud LLM client
- RAG orchestration pipeline
- Logging and observability layer