aws-samples/advanced-rag-router-with-amazon-bedrock
How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
This project helps you build an AI assistant that can answer questions using the most current and relevant information from various internal sources. You provide your business's documents or data, and the assistant can then accurately respond to user queries, reducing 'hallucinations' often seen with general AI models. It's designed for operations engineers or AI solution architects who need to deploy secure, context-aware conversational AI.
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Use this if you need to create a secure, intelligent assistant that pulls up-to-date and specific information from multiple internal data sources to answer user questions accurately.
Not ideal if you are looking for a simple, off-the-shelf chatbot without custom knowledge bases or if you are not operating within the AWS ecosystem.
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MIT-0
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Last pushed
Dec 03, 2024
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