Architecture Artificial Inteligence Knowledge Base 
AWS Machine Learning - AI
MARCH 14, 2025
Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.
AWS Machine Learning - AI
NOVEMBER 20, 2024
The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance of this context directly impacts the model’s ability to generate accurate and contextually appropriate responses.
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AWS Machine Learning - AI
FEBRUARY 11, 2025
However, ingesting large volumes of enterprise data poses significant challenges, particularly in orchestrating workflows to gather data from diverse sources. In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale.
AWS Machine Learning - AI
NOVEMBER 19, 2024
In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , and Amazon Bedrock Guardrails. Solution overview This section outlines the architecture designed for an email support system using generative AI.
AWS Machine Learning - AI
OCTOBER 31, 2024
The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. It can be a local machine or a cloud instance.
AWS Machine Learning - AI
APRIL 1, 2025
AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Whether youre connecting to external systems or internal data stores or tools, you can now use MCP to interface with all of them in the same way.
AWS Machine Learning - AI
DECEMBER 23, 2024
To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context.
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