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Guidance for Chatbots with Vector Databases on AWS

Project Overview

This Guidance provides a step-by-step guide for creating a retrieval-augmented generation (RAG) application, such as a question-answering bot. By using a combination of AWS services, open-source foundation models, and packages such as LangChain and Streamlit, you can create an enterprise-ready application. The RAG-based approach uses a similarity search to provide context to users' inquiries, thereby enhancing the precision and sufficiency of the responses provided.

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Guidance for Chatbots with Vector Databases on AWS