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 118

APIs Call flow Accountability Technology 118

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 130

Healthcare APIs Government Accountability 130

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 129

APIs Construction Chatbots Accountability 129

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 125

Self service Chatbots Accountability Finance 125

AWS Machine Learning

FEBRUARY 8, 2024

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 139

APIs Scripts Enterprise Management 139

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 132

APIs Chatbots Metrics Education 132

AWS Machine Learning

FEBRUARY 11, 2025

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale. By tracking failed jobs, potential data loss or corruption can be mitigated, maintaining the reliability and completeness of the knowledge base.

Enterprise 101

Enterprise Engineering APIs Best practices 101

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. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

Scripts 123

Scripts Accountability Education Feedback 123

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 129

Chatbots APIs Engineering Automotive 129

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 117

APIs Self service Engineering Customer Experience 117

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 96

APIs Accountability Management Engineering 96

Callminer

NOVEMBER 9, 2020

Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. Some fraudsters build a rapport with a particular agent or retail associate over time before requesting that they send a financial sum to their bank account.

Call Center 345

Call Center Banking Contact Center Accountability 345

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 93

Education Engineering Accountability Management 93

ShepHyken

SEPTEMBER 7, 2023

Regularly update training materials based on customer feedback. Account management Offer workshops on relationship-building, active listening, and consultative selling for identifying upsell or cross-sell opportunities. Encourage shadowing experienced account managers who can disseminate their best tips and tricks.

B2C 349

B2C Customer centricity Feedback Upselling 349

ShepHyken

JANUARY 18, 2019

You also find that a large percentage of interactions deal with simple copy and pastes from your knowledge base. These agents will be more skilled and will function more as account managers than reps. The frustration of the delay outweighs the benefit of the human touch in this instance.

Customer Experience 249

Customer Experience Airlines Average Handle Time Contact Center 249

Myra Golden Media

APRIL 28, 2021

Support can also come in the form of a practical knowledge base. Here are some ways management can lead by example and maintain accountability during and after formal customer service training: Foster a friendly environment by greeting remote agents through email or chat each morning. Every moment is an opportunity to learn.

Customer Service 317

Customer Service Morale Contact Center Call Center 317

Callminer

MARCH 2, 2020

Taking into account what you have found to be the most common concerns as well as the most complex issues that your team members encounters, you can provide strategic training plans to boost specific areas of understanding among them. One simple way that you can do this is by leveraging knowledge base software.

First call resolution 291

First call resolution Metrics Analytics Call Center 291

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 235

Customer Service Multichannel CRM Advertising 235

Callminer

OCTOBER 11, 2018

Smitha obtained her license as CPA in 2007 from the California Board of Accountancy. With more than 15 years of experience in business, finance and accounting, Smitha is also responsible for implementing financial controls and processes. He is an expert on knowledge bases and is KCS certified. Reuben Kats @grab_results.

Call Center 561

Call Center Metrics Contact Center Wait times 561

AWS Machine Learning

JULY 2, 2024

This solution also uses the hybrid search feature of Knowledge Bases for Amazon Bedrock to increase the relevancy of retrieved results using RAG. For more information about hybrid search, see Knowledge Bases for Amazon Bedrock now supports hybrid search. The request is sent from the API to a Lambda function.

APIs 141

APIs Scripts Enterprise Engineering 141

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. Let’s take a look at a few real-life examples for inspiration.

Journey mapping 240

Journey mapping Customer Experience Self service Personalization 240

AWS Machine Learning

APRIL 18, 2024

With AWS Landing Zone, you eliminate the guesswork in security configurations, resource provisioning, and account management. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

Scripts 127

Scripts Best practices Engineering Accountability 127

ShepHyken

FEBRUARY 12, 2021

The company benefits as well as agents are better able to pick up on the non-verbal cues that account for 55% of communication effectiveness. This starts with providing clear and clean instructions and a well-organized, up-to-date knowledge-base. Self-Help Channels. The final trend for 2021 is the rise of the self-help channel.

Chief Customer Officer 294

Chief Customer Officer Call Center Consulting Consulting 294

AWS Machine Learning

OCTOBER 31, 2024

The Lambda function interacts with Amazon Bedrock through its runtime APIs, using either the RetrieveAndGenerate API that connects to a knowledge base, or the Converse API to chat directly with an LLM available on Amazon Bedrock. If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account?

APIs 121

APIs Scripts Accountability Construction 121

AWS Machine Learning

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. If a knowledge base ID is configured , the Bot Fulfillment Lambda function forwards the request to the knowledge base.

Chatbots 125

Chatbots Banking APIs Enterprise 125

AWS Machine Learning

NOVEMBER 7, 2024

Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information. The documents are chunked into smaller segments for more effective processing.

APIs 127

APIs Enterprise Automotive Customer Support 127

AWS Machine Learning

NOVEMBER 20, 2024

One of its key features, Amazon Bedrock Knowledge Bases , allows you to securely connect FMs to your proprietary data using a fully managed RAG capability and supports powerful metadata filtering capabilities. Context recall – Assesses the proportion of relevant information retrieved from the knowledge base.

Construction 116

Construction APIs Metrics Accountability 116

ShepHyken

APRIL 28, 2023

The most universally adopted standards include responsiveness, transparency, accountability, empathy, over-delivery, availability, a positive attitude, omnipresence, a commitment to empowering customers, and the use of automation. Accountability Accountability involves acknowledging problems and taking responsibility for solving them.

Customer Service 166

Customer Service Accountability Self service Customer Support 166

AWS Machine Learning

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents. However, some components may incur additional usage-based costs.

Best practices 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

SEPTEMBER 13, 2024

Prerequisites Before proceeding, make sure you have the following resources set up: An AWS account. If you don’t have an account, you can sign up for one. The following screenshot shows the three Amazon Bedrock agents that were deployed in your account.

APIs 130

APIs Enterprise Best practices Accountability 130

ShepHyken

SEPTEMBER 22, 2023

From AI-powered chatbots to hyper-personalization, and with the aid of knowledge-base management solutions , the future of customer service is bright and full of potential. Let’s explore the top trends to watch in the year ahead. #1 Self-service In 2023, self-service options will remain a top priority for customers.

Customer Service 166

Customer Service Chatbots Self service Customer Care 166

AWS Machine Learning

DECEMBER 11, 2024

Weve seen our sales teams use this capability to do things like consolidate meeting notes from multiple team members, analyze business reports, and develop account strategies. These push-based notifications are available in our assistants Slack application, and were planning to make them available in our web experience as well.

Sales 108

Sales Accountability APIs CRM 108

AWS Machine Learning

JULY 11, 2024

IaC generation and deployment : The second action group invokes a Lambda function that processes the user’s input data along with organization-specific coding guidelines from Knowledge Bases for Amazon Bedrock to create the IaC. A GitHub account with a repository to store the generated Terraform scripts.

Scripts 137

Scripts APIs Engineering industry standards 137

AWS Machine Learning

SEPTEMBER 26, 2024

Although Amazon Q is a great way to get started with no code for business users, Amazon Bedrock Knowledge Bases offers more flexibility at the API level for generative AI developers; we explore both these solutions in the following sections. How do I keep my generative AI applications up to date with an ever-evolving knowledge base?”

APIs 116

APIs Chatbots Engineering Accountability 116

AWS Machine Learning

AUGUST 6, 2024

The company—which serves professionals in legal, tax, accounting, compliance, government, and media—expects that it will see even faster and more relevant AI results by fine-tuning Claude with their industry expertise. The solution is powered by Amazon Bedrock and customized with data to go beyond traditional email-based systems.

Engineering 138

Engineering Construction Chatbots Entertainment 138

AWS Machine Learning

AUGUST 21, 2024

Solution overview Everything you need is provided as open source in our GitHub repo and is straightforward to deploy in your AWS account. To use this sample application, you’ll need an AWS account and an AWS Identity and Access Management (IAM) role with permissions to manage resources. button, or enter your own question in the UI.

Healthcare 119

Healthcare Consulting Consulting APIs 119

AWS Machine Learning

MARCH 13, 2024

Latency and cost are also critical factors that must be taken into account. If the toxicity analysis returns a toxicity score exceeding a certain threshold (for example, 50%), we can use Knowledge Bases for Amazon Bedrock to evaluate the message against customized policies using LLMs.

APIs 134

APIs Engineering Advertising Management 134