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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

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

APIs 101
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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

APIs 118
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Considering Scheduling a Chatbot Demo? Here are the Key Questions to Ask

Netomi

Chatbot Demo Question #1: Does It Connect to Your Knowledge Base? To meet the demands of the modern customer, companies over the past several years have created robust Knowledge Bases (also referred to as Help Centers) on Zendesk and other leading customer experience platforms. Can I customize analytics?

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Seizing the Digital Future in Customer Experience Transformation 

COPC

Effectiveness in Closed Domains and Short Interactions When we talk about “closed interactions,” we refer to customer inquiries or issues that are very specific, well-defined, and require a straightforward and clear answer. It effectively decodes the customer’s detailed descriptions and offers solutions in real time.

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Top trends for the contact center in 2019 – part 2, effortless & transformative

Noble Systems

In Part 2, we will cover the “Effortless” and “Transformative” category trends. The term “effortless” refers to both the agent and the customer experience. Focus on Improving Your Knowledge Base. Both contact center agents and customers benefit from a great customer service knowledge base. Effortless.

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What Self-Service Rate Can You Expect from Artificial Intelligence?

Inbenta

Call deflection” refers to routing a customer’s inquiry to an alternate service channel, such as chatbots , FAQs, community forums, or knowledge center databases. Even though this metric refers to “calls”, it also includes any contacts requiring the attention of a human agent, such as live chat and emails. Call deflection rate.

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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning

However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). RAG empowers LLMs by giving them the ability to retrieve and incorporate external knowledge. The AWS Command Line Interface (AWS CLI) v2.