Production RAG Chatbot - Complete Architecture & Implementation

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Description

Complete production-ready RAG (Retrieval-Augmented Generation) chatbot architecture guide. Includes vector database selection (Pinecone/Weaviate/Chroma), embedding strategies, chunking best practices, query optimization, hybrid search, re-ranking, conversation memory, and deployment on AWS/GCP. With Python code examples using LangChain and LangGraph. Build chatbots that actually work in production, not just demos.