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. Model providers can’t access customer data in the deployment account. The following diagram depicts a high-level RAG architecture.

Best practices 126

Best practices APIs Accountability Personalization 126

AWS Machine Learning

MARCH 1, 2024

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 127

APIs Finance Chatbots Enterprise 127

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 114

APIs Call flow Accountability Technology 114

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 118

APIs Scripts Accountability Construction 118

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. It’s straightforward to deploy in your AWS account. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

APIs 127

APIs Accountability Analytics Entertainment 127

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 122

Healthcare APIs Government Accountability 122

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 136

APIs Scripts Enterprise Management 136

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 119

Self service Chatbots Accountability Finance 119

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 127

APIs Chatbots Metrics Education 127

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 121

Scripts Accountability Education Feedback 121

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 124

APIs Construction Chatbots Accountability 124

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 121

Chatbots APIs Engineering Automotive 121

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 114

Chatbots APIs Engineering Enterprise 114

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 122

APIs Enterprise Automotive Customer Support 122

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 110

Construction APIs Metrics Accountability 110

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

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 102

APIs Self service Engineering Customer Experience 102

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 104

Best practices Feedback Metrics APIs 104

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 87

APIs Accountability Management Engineering 87

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 92

Sales Accountability APIs CRM 92

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

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 88

Education Accountability Engineering Management 88

AWS Machine Learning

SEPTEMBER 24, 2024

You can deploy the solution in your own AWS account and try the example solution. We will walk you through deploying and testing these major components of the solution: An AWS CloudFormation stack to set up an Amazon Bedrock knowledge base, where you store the content used by the solution to answer questions.

Contact Center 95

Contact Center Analytics Accountability Self service 95

AWS Machine Learning

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. These five webpages act as a knowledge base (source data) to limit the RAG models response.

Benchmark 94

Benchmark APIs Enterprise Scripts 94

AWS Machine Learning

NOVEMBER 15, 2024

With RAG, you can provide the context to the model and tell the model to only reply based on the provided context, which leads to fewer hallucinations. With Amazon Bedrock Knowledge Bases , you can implement the RAG workflow from ingestion to retrieval and prompt augmentation.

APIs 105

APIs Government Best practices Metrics 105

AWS Machine Learning

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. ASR and NLP techniques provide accurate transcription, accounting for factors like accents, background noise, and medical terminology.

Healthcare 104

Healthcare Analytics Consulting Consulting 104

AWS Machine Learning

MARCH 4, 2025

Knowledge base integration Incorporates up-to-date WAFR documentation and cloud best practices using Amazon Bedrock Knowledge Bases , providing accurate and context-aware evaluations. It is highly recommended that you use a separate AWS account and setup AWS Budget to monitor the costs.

Best practices 100

Best practices Enterprise Engineering Strategic Value 100

AWS Machine Learning

JANUARY 21, 2025

Chat-based assistants have become an invaluable tool for providing automated customer service and support. Amazon Bedrock Knowledge Bases provides the capability of amassing data sources into a repository of information. In this post, we demonstrate how to integrate Amazon Lex with Amazon Bedrock Knowledge Bases and ServiceNow.

Self service 78

Self service Best practices Accountability Government 78

CSM Magazine

JANUARY 28, 2025

Registering and logging into a personal account on a gaming site are important steps for every new member. The process of creating an account at CandyLand Casino login is fast enough and requires little effort. Logging in to your personal account is a key moment to get full access to all functions.

Accountability 52

Accountability Personalization Entertainment Banking 52

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

AWS Machine Learning

JANUARY 24, 2025

This feature can be centrally managed across multiple accounts using AWS Firewall Manager , providing a consistent and robust approach to application protection. By default, Amazon Bedrock encrypts all knowledge base-related data using an AWS managed key. Alternatively, you can choose to use a customer managed key.

APIs 100

APIs Scripts Best practices Management 100

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

AWS Machine Learning

MARCH 6, 2025

Build sample RAG Documents are segmented into chunks and stored in an Amazon Bedrock Knowledge Bases (Steps 24). Prerequisites To implement this solution, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

Metrics 102

Metrics Enterprise APIs Engineering 102

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

FEBRUARY 7, 2025

The serverless architecture provides scalability and responsiveness, and secure storage houses the studios vast asset library and knowledge base. RAG implementation Our RAG setup uses Amazon Bedrock connectors to integrate with Confluence and Salesforce, tapping into our existing knowledge bases.

Entertainment 75

Entertainment APIs Technology Feedback 75