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Your knowledge base should comprise multiple data sources, including: Responses for an application discovery questionnaire ( See example ) Output from the configuration management database (CMDB) or AWS Application Discovery Agent data ( See example ) Best practices and white-papers on migration to AWS (for example, Migration Lens – AWS Well-Architected (..)
Next you need to index the 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). Each document type has a separate folder: blogs, case-studies, analyst reports, user guides, and whitepapers.
Importantly, our AI assistant’s responses are limited to authorized data sources only, not drawing from general Large Language Model (LLM) knowledge. He has been featured in various news publications, authored multiple security-focused whitepapers, and is a frequent speaker at industry events.
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