AWS Machine Learning

MAY 28, 2025

With Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases , you can now build powerful multimodal RAG applications with minimal effort. Amazon Bedrock Data Automation processes these diverse sources, and Amazon Bedrock Knowledge Bases lets lawyers query What evidence was presented about the incident on March 15?

Knowledge Base 74

Knowledge Base Data Advertising Sports 74

AWS Machine Learning

MARCH 7, 2025

Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics.

Knowledge Base 125

Knowledge Base Analytics Automotive Analysis 125

AWS Machine Learning

MARCH 25, 2025

Amazon Bedrock Knowledge Bases is a fully managed capability that helps implement entire Retrieval Augmented Generation (RAG) workflows from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows. Choose the Knowledge Bases tab to review the evaluation.

Knowledge Base 107

Knowledge Base Metrics Effort Score Measurement 107

AWS Machine Learning

APRIL 7, 2025

Amazon Bedrock Knowledge Bases offers fully managed, end-to-end Retrieval Augmented Generation (RAG) workflows to create highly accurate, low-latency, secure, and custom generative AI applications by incorporating contextual information from your companys data sources.

Knowledge Base 124

Knowledge Base Healthcare Data Examples 124

eglobalis

JANUARY 13, 2025

Salesforce Einstein Agent provides agents with contextual knowledge bases, reducing the need for multiple interactions. A European logistics firm achieved a 15% improvement in FCR rates by integrating AI-powered knowledge management systems.

Customer Experience 435

Customer Experience Marketing Chatbots e-support 435

AWS Machine Learning

JUNE 5, 2025

This technique retrieves pertinent information from a knowledge base and incorporates it into the users prompt, significantly improving the models responses. In this post, we demonstrate how to use contextual retrieval with Anthropic and Amazon Bedrock Knowledge Bases. client('s3') sts_client = boto3.client('sts')

Knowledge Base 61

Knowledge Base Metrics Financial Policies 61

AWS Machine Learning

JUNE 2, 2025

In this post, we explore how to use Graph-based Retrieval-Augmented Generation (GraphRAG) in Amazon Bedrock Knowledge Bases to build intelligent applications. Amazon Bedrock Knowledge Bases GraphRAG Amazon Bedrock Knowledge Bases is a managed service for storing, retrieving, and structuring enterprise knowledge.

Knowledge Base 78

Knowledge Base Analytics Connections Financial 78

InMoment XI

JUNE 7, 2025

While this process is necessary in some cases, frequent escalations often signal gaps in agent training, knowledge base access, or outdated call center workflows. Without the right knowledge base or support tools, even experienced agents will struggle with first contact resolution (FCR).

Contact Center 195

Contact Center Self Service Average Handle Time Tips 195

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.

Knowledge Base 103

Knowledge Base Resources Data System 103

AWS Machine Learning

APRIL 18, 2025

In this post, we showcase the custom data connector capability in Amazon Bedrock Knowledge Bases that makes it straightforward to build RAG workflows with custom input data. With Amazon Bedrock Knowledge Bases, you can build applications that are enriched by the context that is received from querying a knowledge base.

Knowledge Base 90

Knowledge Base Data Analysis Consumers 90

Lumoa

JUNE 5, 2025

Read more about creating a collection in the knowledge base. So thats what this change allows: When creating a collection, simply choose the new “Reverse Linear” option and low scores will be considered positive. Everything else about the collection (Imapcts, AI, Topics) functions the same.

Knowledge Base 195

Knowledge Base NPS Analysis Analytics 195

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.

Automotive 131

Automotive Data Knowledge Base Guidelines 131

Comm100

DECEMBER 16, 2024

These are resources like FAQ pages, step-by-step guides, or a searchable knowledge base that lets customers find answers on their own. Knowledge base AI-enhanced knowledge bases offer instant access to frequently asked questions and helpful resources. Request a demo today Request Demo 3.

Customer Service 130

Customer Service Self Service Chatbots Omni-Channel 130

AWS Machine Learning

APRIL 1, 2025

Solution overview For this solution, we use Amazon Bedrock Knowledge Bases to store a repository of healthcare documents. We employ a Retrieval Augmented Generation (RAG) approach, first retrieving relevant context and synthesizing an answer based on the retrieved context, to generate articles based on the repository.

Knowledge Base 110

Knowledge Base Healthcare Guidelines System 110

Lumoa

JUNE 5, 2025

New guides in the Knowledge base to level up your Netigate experience We made a few new guides to help get new users to Netigate up and running, as well as to expand knowledge for veteran users.

Knowledge Base 195

Knowledge Base Analysis Analytics Trends 195

AWS Machine Learning

DECEMBER 4, 2024

When users pose questions through the natural language interface, the chat agent determines whether to query the structured data in Amazon Athena through the Amazon Bedrock IDE function, search the Amazon Bedrock knowledge base, or combine both sources for comprehensive insights.

Knowledge Base 107

Knowledge Base Sales Analytics Survey 107

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 existing knowledge base, refer to Create an Amazon Bedrock knowledge base.

Knowledge Base 125

Knowledge Base Interaction Groups Customers 125

AWS Machine Learning

NOVEMBER 22, 2024

Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services. Flexibility to define the workflow based on your business logic. Knowledge base node : Apply guardrails to responses generated from your knowledge base.

Knowledge Base 124

Knowledge Base Chatbots Travel Innovation 124

AWS Machine Learning

MAY 28, 2025

Amazon Bedrock Data Automation (BDA) enables the generation of useful insights from unstructured multimodal content such as documents, images, audio, and video for your AI-powered applications, and it can be used as a parser when setting up a knowledge base for Retrieval Augmented Generation (RAG) workflows.

Data 107

Data Knowledge Base Financial Analysis 107

Experience Investigators by 360Connext

OCTOBER 11, 2024

Call centers assist customers at any hour of the day, with expert scripts and knowledge bases designed to help them navigate even the trickiest situations with ease. Online chatbots can now manage many support interactions without the customer needing to call in if they don’t want to!

Customer Service 270

Customer Service Customer Experience How To Customer Journeys 270

AWS Machine Learning

JUNE 3, 2025

In the next section, we explore a practical implementation example that shows how to connect an MCP server to Amazon Bedrock Knowledge Bases, providing a blueprint for your own implementations. Now, we explore a concrete implementation of MCP that connects language models to Amazon Bedrock Knowledge Bases.

Knowledge Base 95

Knowledge Base Resources Tools System 95

Calabrio

FEBRUARY 20, 2025

By refining AI training and continuously improving chatbot knowledge bases , businesses can create smarter, more responsive bots that truly enhance self-service experiences. Improve chatbot responses using customer sentiment insights.

Self Service 162

Self Service Chatbots Analytics Contact Center 162

AWS Machine Learning

NOVEMBER 27, 2024

Seamless integration of customer experience, collaboration tools, and relevant data is the foundation for delivering knowledge-based productivity gains. In this example, we ingest the documentation of the Amazon Well-Architected Framework into the knowledge base.

Knowledge Base 107

Knowledge Base Policies Data Examples 107

AWS Machine Learning

JANUARY 9, 2025

The knowledge base contains loan-related documents to respond to loan-related queries. The Amazon Bedrock agents use the user prompts, conversation history, knowledge base, instructions, and action groups to orchestrate the sequence of steps related to loan processing. in the following figure.

Knowledge Base 119

Knowledge Base Banking Financial Examples 119

AWS Machine Learning

OCTOBER 23, 2024

Built using Amazon Bedrock Knowledge Bases , Amazon Lex , and Amazon Connect , with WhatsApp as the channel, our solution provides users with a familiar and convenient interface. With the ability to continuously update and add to the knowledge base, AI applications stay current with the latest information.

Connections 95

Connections Knowledge Base Resources Data 95

AWS Machine Learning

APRIL 3, 2025

Mid-market Account Manager Amazon Q, Amazon Bedrock, and other AWS services underpin this experience, enabling us to use large language models (LLMs) and knowledge bases (KBs) to generate relevant, data-driven content for APs. Its a game-changer for serving my full portfolio of accounts.

Sales 111

Sales Knowledge Base CRM System 111

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. These documents form the foundation of the RAG architecture. Metadata filtering is used to improve retrieval accuracy.

Knowledge Base 120

Knowledge Base Analysis Resources Tools 120

AWS Machine Learning

JANUARY 24, 2025

RAG data store layer The RAG data store is responsible for securely retrieving up-to-date, precise, and user access-controlled knowledge from various first-party and third-party data sources. By default, Amazon Bedrock encrypts all knowledge base-related data using an AWS managed key.

Knowledge Base 118

Knowledge Base Groups Data How To 118

AWS Machine Learning

DECEMBER 3, 2024

The architecture is divided into two main components: the agent architecture and knowledge base architecture. This NoSQL database is optimized for rapid access, making sure the knowledge base remains responsive and searchable. Knowledge base architecture The following diagram illustrates the knowledge base architecture.

Sales 110

Sales Knowledge Base Innovation Data 110

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.

Knowledge Base 119

Knowledge Base Tools Policies Innovation 119

AWS Machine Learning

MAY 2, 2025

The primary agent can also consult attached knowledge bases or trigger action groups before or after subagent involvement. The data assistant agent maintains direct integration with the Amazon Bedrock knowledge base, which was initially populated with ingested financial document PDFs as detailed in this post.

Financial 92

Financial Knowledge Base Multi-Channel Guidelines 92

AWS Machine Learning

FEBRUARY 10, 2025

It aims to boost team efficiency by answering complex technical queries across the machine learning operations (MLOps) lifecycle, drawing from a comprehensive knowledge base that includes environment documentation, AI and data science expertise, and Python code generation.

Data 109

Data Chief Customer Officer Knowledge Base Banking 109

AWS Machine Learning

APRIL 10, 2025

They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data. To do so, we create a knowledge base. Complete the following steps: On the Amazon Bedrock console, choose Knowledge Bases in the navigation pane. Choose Next.

Case Study 125

Case Study Study Knowledge Base Comparison 125

Calabrio

MARCH 11, 2025

Build a better internal knowledge base A knowledge base serves as a central repository of information for your team and includes how-to guides, frequently asked questions, and troubleshooting help, which encourages self-service.

Contact Center 130

Contact Center Call Center Effort Score Chatbots 130

InMoment XI

DECEMBER 18, 2024

Chatbots and virtual assistants rely on their knowledge bases to respond to or escalate customer queries. For example, a chatbot can update its knowledge base after encountering a new query. Similarly, the insights highlight the extent to which current practices are satisfying customer needs.

Contact Center 195

Contact Center Customer Satisfaction ROI Virtual Agent 195