AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

APIs 128

APIs Call flow Accountability Technology 128

AWS Machine Learning

APRIL 8, 2024

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 135

APIs Construction Chatbots Accountability 135

AWS Machine Learning

APRIL 23, 2024

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

APIs 133

APIs Enterprise Scripts Accountability 133

AWS Machine Learning

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Chatbots 127

Chatbots APIs Engineering Enterprise 127

AWS Machine Learning

APRIL 26, 2024

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 for fully managed Retrieval Augmented Generation (RAG).

APIs 133

APIs Enterprise Chatbots Engineering 133

AWS Machine Learning

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

Healthcare 135

Healthcare APIs Government Accountability 135

AWS Machine Learning

MAY 31, 2024

Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. Crucially, if you delete data from the source S3 bucket, it’s automatically removed from the underlying vector store after syncing the knowledge base.

Best practices 136

Best practices APIs Accountability Personalization 136

AWS Machine Learning

AUGUST 7, 2024

For instance, customer support, troubleshooting, and internal and external knowledge-based search. RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. Create a knowledge base that contains this book.

APIs 137

APIs Chatbots Metrics Education 137

AWS Machine Learning

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. You can simply connect QnAIntent to company knowledge sources and the bot can immediately handle questions using the allowed content.

Self service 132

Self service Chatbots Accountability Finance 132

AWS Machine Learning

APRIL 18, 2024

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

APIs 138

APIs Accountability Analytics Entertainment 138

AWS Machine Learning

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. This agent responds to user inquiries by either consulting the knowledge base or by invoking an Agent Executor Lambda function.

Chatbots 134

Chatbots APIs Engineering Automotive 134

AWS Machine Learning

JUNE 20, 2024

Create a knowledge base that will split your data into chunks and generate embeddings using the Amazon Titan Embeddings model. As part of this process, Knowledge Bases for Amazon Bedrock automatically creates an Amazon OpenSearch Serverless vector search collection to hold your vectorized data. Choose Done.

APIs 121

APIs Self service Engineering Customer Experience 121

AWS Machine Learning

AUGUST 5, 2024

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. Choose Sync to initiate the data ingestion job.

Scripts 132

Scripts Accountability Education Feedback 132

AWS Machine Learning

AUGUST 5, 2024

Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock. As a fully managed service, Knowledge Bases for Amazon Bedrock makes it straightforward to set up a Retrieval Augmented Generation (RAG) workflow. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

APIs 123

APIs Engineering Chatbots Management 123

AWS Machine Learning

APRIL 9, 2024

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Prerequisites To follow along with these examples, you need to have an existing knowledge base. Select the knowledge base you created.

APIs 139

APIs Engineering Healthcare Education 139

AWS Machine Learning

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

APIs 138

APIs Education Management 138

AWS Machine Learning

SEPTEMBER 19, 2024

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Bedrock Knowledge Bases offers a fully managed RAG experience.

APIs 100

APIs Accountability Management Engineering 100

ShepHyken

MAY 10, 2021

10 Ways Knowledge Base Can Improve Customer Experience by Sony T. Here are 10 ways Knowledge base software can improve customer experience. My Comment: Reading an article about knowledge bases may not seem very exciting, but that doesn’t mean it’s not important.

Customer Service 407

Customer Service Customer Support Surveys Self service 407

AWS Machine Learning

AUGUST 28, 2024

The complexity of developing and deploying an end-to-end RAG solution involves several components, including a knowledge base, retrieval system, and generative language model. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock.

Education 100

Education Accountability Engineering Management 100

CSM Magazine

NOVEMBER 15, 2024

A robust knowledge base can empower your customers to find solutions on their own, reducing support requests and enhancing overall user experience. Here are ten of the best knowledge base software solutions designed to elevate your customer service: 1.

Customer Service 52

Customer Service Chatbots Self service Enterprise 52

ShepHyken

OCTOBER 1, 2021

Tools like a knowledge base and chatbot help you provide instant answers to customers and ensure they return to your brand the next time. . But agents get to focus and resolve complex situations as commonly asked questions are taken care of by automated tools like chatbots and knowledge base.

Customer Service 414

Customer Service Chatbots Interactive Voice Response Customer Support 414

ShepHyken

MARCH 10, 2023

Finally, you’ll likely need software for building an internal knowledge base for remote agents to turn to when they need answers or directions. Empower customer service agents with knowledge Empowering agents with the right information is key to helping them resolve customer inquiries at the first point of contact.

Customer Service 308

Customer Service Employee engagement Customer Support Management 308

ShepHyken

JANUARY 18, 2021

Chatbots vs Knowledge Bases: Which One Is Better? My Comment: Chatbots versus knowledge base support. .” These are fundamental concepts for every type of business. by Tracey Ruff. Both are self-service options, but what’s more effective?

Customer Service 344

Customer Service B2B Journey mapping Chatbots 344

ShepHyken

SEPTEMBER 13, 2019

So be sure to reference your knowledge base or engage an expert at your organization. If you need more time, let them know you’ll be getting back to them and be sure to gather as much information as possible so you and your team have everything needed to provide a knowledgeable response that answers the customer’s question.

Customer Experience 285

Customer Experience Technical Support Self service Best practices 285

ShepHyken

JULY 26, 2022

If you can take historical data, such as questions customers have asked in the past and issues they have called about, then you can build a knowledge base around this data that agents can use to help customers. Human-centered AI is all about connecting and getting the customer to an agent in the right channel at the right time.

Real estate 380

Real estate Self service Customer Service Technology 380

ShepHyken

MARCH 6, 2023

Anytime you digitize an experience or introduce new technology, ensure you have the basic tools your customers need to easily find what they need, like a good knowledge base on your website, FAQs, or video tutorials. Customer-led growth is about inspiring loyalty, building trust, and raising the game around customer satisfaction.

Feedback 334

Feedback Customer centricity Contact Center Surveys 334

ShepHyken

JUNE 4, 2021

How knowledge management helps in improving FCR? FCR can be improved by a knowledge management system with its tools such as a decision tree, knowledge base. Knowledge base helps in collecting all the important data required for customer support and organizing them in order.

First call resolution 227

First call resolution Management Chatbots Self service 227

AWS Machine Learning

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. These indexed documents provide a comprehensive knowledge base that the AI agents consult to inform their responses.

APIs 113

APIs Management Engineering Enterprise 113

AWS Machine Learning

NOVEMBER 18, 2024

Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. Using Amazon Bedrock Knowledge Bases, FMs and agents can retrieve contextual information from your company’s private data sources for RAG.

Benchmark 121

Benchmark APIs Engineering Analytics 121

ShepHyken

JANUARY 18, 2019

You also find that a large percentage of interactions deal with simple copy and pastes from your knowledge base. The frustration of the delay outweighs the benefit of the human touch in this instance.

Customer Experience 257

Customer Experience Airlines Average Handle Time Contact Center 257

Callminer

NOVEMBER 9, 2020

“Knowledge-based authentication (KBA) is a security measure that identifies end users by asking them to answer specific security questions in order to provide accurate authorization for online or digital activities. ” – Knowledge-Based Authentication (KBA) , Techopedia; Twitter: @techopedia.

Call Center 345

Call Center Banking Contact Center Accountability 345

Callminer

MARCH 2, 2020

Improving the technological base of your company’s infrastructure can yield impressive performance results among your agents in a relatively quickly. One simple way that you can do this is by leveraging knowledge base software.

First call resolution 291

First call resolution Analytics Metrics Call Center 291

CX Accelerator

JANUARY 7, 2019

Imagine you’re on a company’s website and are searching through their knowledge base for an answer to a question before contacting customer service. Traditional searching based on keywords yields results but with far less accuracy. Let’s look at an example where we see NLP at work in the CX.

Chatbots 275

Chatbots Contact Center Technology Analytics 275

ShepHyken

MAY 14, 2021

One effective way brands of all shapes, sizes and forms can embrace self-service is by using a knowledge base software to create a repository of quality and updated information and empower customers to answer FAQ-type queries themselves.

Journey mapping 250

Journey mapping Customer Experience Self service Personalization 250

ShepHyken

OCTOBER 28, 2024

With AI tools, employees can easily access customer’s history of interactions with the brand and get information from a broad knowledge base that can help them offer personalized solutions. Great customer experiences can lead to loyal customers.

Contact Center 240

Contact Center Brand ambassadors Self service Upselling 240

ShepHyken

JULY 3, 2020

Set Up a Knowledge Base. In a nutshell, a knowledge base is an area in your site that is dedicated to customer service. For example, a FAQ page is considered as a knowledge base. It is filled with tutorials and answers that you can send to your customers should problems and questions come up.

Customer Service 238

Customer Service Multichannel CRM Advertising 238