Remove Data Ingestion Remove IDP Remove LLM
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Secure a generative AI assistant with OWASP Top 10 mitigation

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Contrast that with Scope 4/5 applications, where not only do you build and secure the generative AI application yourself, but you are also responsible for fine-tuning and training the underlying large language model (LLM). LLM and LLM agent The LLM provides the core generative AI capability to the assistant.

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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning Blog

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. By default, Amazon Q Business will only produce responses using the data you’re indexing. This behavior is aligned with the use cases related to our solution.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise. The IDP solution uses the power of LLMs to automate tedious document-centric processes, freeing up your team for higher-value work.

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Discover insights from your Amazon Aurora PostgreSQL database using the Amazon Q Business connector

AWS Machine Learning Blog

Next, you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach, where relevant passages are delivered with high accuracy to a large language model (LLM). A data source connector is a component of Amazon Q that helps integrate and synchronize data from multiple repositories into one index.