Remove reference knowledge-management-governance
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Guest Post: Importance of a Single Source of Truth for Customer Service?

ShepHyken

This week we feature an article by Sowmya Juttukonda, content developer & digital media strategist at Knowmax , a knowledge management system to enhance customer service. It’s everything in one place, on one platform, and it’s all managed by the best authority. Therefore complications are unlikely. .

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

APIs 107
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. In this post, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock for a drug discovery use case.

APIs 111
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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. With these state-of-the-art technologies, you can ingest text corpora, index critical knowledge, and generate text that answers users’ questions precisely and clearly.

APIs 97
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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

A data mesh architecture strives to solve these technical and organizational challenges by introducing a decentralized socio-technical approach to share, access, and manage data in complex and large-scale environments—within or across organizations.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.