AWS Machine Learning

OCTOBER 11, 2024

Generative AI solutions often use Retrieval Augmented Generation (RAG) architectures, which augment external knowledge sources for improving content quality, context understanding, creativity, domain-adaptability, personalization, transparency, and explainability.

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AWS Machine Learning

JULY 18, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you implement the entire RAG workflow, from ingestion to retrieval and prompt augmentation. However, the metadata fields need to be configured during the knowledge base ingestion process. The following screenshot shows an example of the dataset.

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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).

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AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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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.

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GetFeedback

MAY 7, 2019

Deploying an effective online knowledge base is one way to ensure that your customers are delighted every single time when they approach your customer support. This cloud-based knowledge repository is an online library that contains all the information on various aspects of an organization from its policies to its products.

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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.

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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.

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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.

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Comm100

APRIL 22, 2021

The best knowledge base software is the backbone of any good customer service operation. A knowledge base most commonly functions as a library of information to answer customer questions. However, with a robust software in place, a knowledge base can be much more than this.

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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.

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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.

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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.

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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).

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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.

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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.

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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.

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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.

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Help Scout

AUGUST 22, 2023

Learn what a knowledge base is and discover how to plan, create, and deliver effective help center content to create better customer experiences. Read the full article

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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.

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GetFeedback

AUGUST 24, 2018

According to Forrester Research , 91% of customers surveyed would use a knowledge base if it were customized to their needs. But in order to achieve that goal, you need to create a customer-centric knowledge base so that the customers can find the answers they need. 8 Tips on Knowledge Base Creation.

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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.

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Comm100

NOVEMBER 5, 2020

For customer service, that means collecting, centralizing, and sorting important information into a well-crafted internal knowledge base. An internal knowledge base is where customer support agents (and the entire staff) can access information about your company’s processes, products, and more. Gather your content.

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Zonka Feedback

AUGUST 29, 2024

All this could have been avoided with a well-prepared knowledge base, refined through user feedback. This scenario highlights the critical role of help and knowledge base feedback. In a world where customer expectations are sky-high, ensuring your knowledge base is up to the task isn’t just important—it’s essential.

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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.

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GetFeedback

MAY 24, 2017

Maintaining a knowledge base gets exponentially more complicated as a business grows. That's where knowledge base surveys can help.

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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.

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Help Scout

AUGUST 22, 2023

These 18 inspirational knowledge base examples will help you create a great knowledge base and improve your self-service support in 2022. Read the full article

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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.

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GetFeedback

AUGUST 24, 2018

Learn how to optimize your knowledge base for your customers' needs. Arming your customers with self-service content saves everyone time and energy.

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TechSee

DECEMBER 3, 2019

Although 91% of companies have invested heavily in contact center knowledge bases, very few are seeing real ROI. Most knowledge bases are hindered by poor usability. Some knowledge bases can also proactively present issue resolution suggestions to customer service representatives in real time.

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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.

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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.

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Help Scout

JULY 15, 2024

If you sell online, you need an ecommerce knowledge base. Learn what they are, how to build one, and see some examples to get inspired. Read the full article

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Help Scout

AUGUST 22, 2023

Your knowledge base is one of the hardest working members of your team. Putting effort and energy into great knowledge base articles and organization helps it work even more efficiently. Read the full article

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