AWS Machine Learning

APRIL 26, 2024

Today, we’re introducing the new capability to chat with your document with zero setup in Knowledge Bases for Amazon Bedrock. With this new capability, you can securely ask questions on single documents, without the overhead of setting up a vector database or ingesting data, making it effortless for businesses to use their enterprise data.

APIs 125

APIs Enterprise Chatbots Engineering 125

AWS Machine Learning

FEBRUARY 19, 2024

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers.

Chatbots 123

Chatbots APIs Engineering Enterprise 123

AWS Machine Learning

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

Chatbots 128

Chatbots Engineering APIs Technology 128

AWS Machine Learning

OCTOBER 24, 2024

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. Document ingestion In a RAG architecture, documents are often stored in a vector store.

Chatbots 88

Chatbots Metrics Scripts APIs 88

AWS Machine Learning

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. This includes a one-time processing of PDF documents. The steps are as follows: The user uploads documents to the application.

Government 128

Government Healthcare Construction Engineering 128

AWS Machine Learning

AUGUST 15, 2024

In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences. After authentication, Amazon API Gateway and Amazon S3 deliver the contents of the Content Designer UI.

Chatbots 125

Chatbots Banking APIs Enterprise 125

AWS Machine Learning

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Analytics 125

Analytics APIs Engineering Construction 125

AWS Machine Learning

NOVEMBER 15, 2024

This centralized system consolidates a wide range of data sources, including detailed reports, FAQs, and technical documents. The system integrates structured data, such as tables containing product properties and specifications, with unstructured text documents that provide in-depth product descriptions and usage guidelines.

APIs 117

APIs Engineering Chatbots Construction 117

AWS Machine Learning

MARCH 6, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Metrics 84

Metrics Enterprise APIs Engineering 84

AWS Machine Learning

AUGUST 7, 2024

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Most common use cases for chatbot assistants focus on a few key areas, including enhancing customer experiences, boosting employee productivity and creativity, or optimizing business processes.

APIs 132

APIs Chatbots Metrics Education 132

AWS Machine Learning

MARCH 1, 2024

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing.

Chatbots 122

Chatbots APIs Self service Contact Center 122

AWS Machine Learning

FEBRUARY 14, 2023

It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Additional refinement is needed to find the documents specific to that user or user group as the top search result.

Chatbots 96

Chatbots APIs Construction Education 96

Inbenta

AUGUST 17, 2021

Contents: What is voice search and what are voice chatbots? Text-to-speech and speech-to-text chatbots: how do they work? How to build a voice chatbot: integrations powered by Inbenta. Why launch a voice-based chatbot project: adding more value to your business. What is voice search and what are voice chatbots?

Chatbots 94

Chatbots Interactive Voice Response Customer Service APIs 94

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 69

APIs Engineering Metrics Big data 69

AWS Machine Learning

FEBRUARY 5, 2025

For a retail chatbot like AnyCompany Pet Supplies AI assistant, guardrails help make sure that the AI collects the information needed to serve the customer, provides accurate product information, maintains a consistent brand voice, and integrates with the surrounding services supporting to perform actions on behalf of the user. The Llama 3.1

Chatbots 99

Chatbots Construction Best practices APIs 99

AWS Machine Learning

NOVEMBER 22, 2023

In this post, we explore building a contextual chatbot for financial services organizations using a RAG architecture with the Llama 2 foundation model and the Hugging Face GPTJ-6B-FP16 embeddings model, both available in SageMaker JumpStart. Their training on predominantly generalized data diminishes their efficacy in domain-specific tasks.

Engineering 120

Engineering Chatbots APIs Benchmark 120

AWS Machine Learning

SEPTEMBER 26, 2024

This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. How can I trace the reasoning of my model back to source documents to build user trust?” “How

APIs 109

APIs Chatbots Engineering Accountability 109

AWS Machine Learning

MAY 16, 2023

This demonstration provides an open-source foundation model chatbot for use within your application. GPT-NeoXT-Chat-Base-20B is designed for use in chatbot applications and may not perform well for other use cases outside of its intended scope. In addition to the aforementioned fine-tuning, GPT-NeoXT-Chat-Base-20B-v0.16

Chatbots 98

Chatbots Scripts APIs Feedback 98

AWS Machine Learning

FEBRUARY 14, 2024

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. First, the user logs in to the chatbot application, which is hosted behind an Application Load Balancer and authenticated using Amazon Cognito.

Engineering 138

Engineering Chatbots Accountability Enterprise 138

AWS Machine Learning

JANUARY 31, 2024

In this post, we show you how to securely create a movie chatbot by implementing RAG with your own data using Knowledge Bases for Amazon Bedrock. Knowledge bases enable you to chunk your documents in smaller segments to make it straightforward for you to process large documents. Create a knowledge base. Choose Next.

Chatbots 117

Chatbots Entertainment APIs Advertising 117

AWS Machine Learning

MARCH 1, 2024

It enables searching over both the content of documents and their underlying meaning. For example, if you have want to build a chatbot for an ecommerce website to handle customer queries such as the return policy or details of the product, using hybrid search will be most suitable.

APIs 134

APIs Finance Chatbots Enterprise 134

AWS Machine Learning

FEBRUARY 6, 2024

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 130

Chatbots APIs Self service Banking 130

AWS Machine Learning

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. To refine the search results, you can filter based on document metadata to improve retrieval accuracy, which in turn leads to more relevant FM generations aligned with your interests.

APIs 129

APIs Construction Chatbots Accountability 129

AWS Machine Learning

NOVEMBER 10, 2023

LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents.

APIs 122

APIs Chatbots Analytics Personalization 122

AWS Machine Learning

OCTOBER 1, 2024

Specifically, we focus on chatbots. Chatbots are no longer a niche technology. Although AI chatbots have been around for years, recent advances of large language models (LLMs) like generative AI have enabled more natural conversations. We also provide a sample chatbot application. We discuss this later in the post.

Chatbots 87

Chatbots APIs Scripts Management 87

AWS Machine Learning

JULY 10, 2024

You can use the Prompt Management and Flows features graphically on the Amazon Bedrock console or Amazon Bedrock Studio, or programmatically through the Amazon Bedrock SDK APIs. Alternatively, you can use the CreateFlow API for a programmatic creation of flows that help you automate processes and development pipelines.

Management 128

Management APIs Chatbots Best practices 128

AWS Machine Learning

SEPTEMBER 17, 2024

This enables a RAG scenario with Amazon Bedrock by enriching the generative AI prompt using Amazon Bedrock APIs with your company-specific data retrieved from the OpenSearch Serverless vector database. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB).

APIs 92

APIs Chatbots Management Accountability 92

AWS Machine Learning

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful.

APIs 120

APIs Healthcare Scripts Engineering 120

AWS Machine Learning

AUGUST 30, 2023

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational.

Self service 128

Self service APIs Transportation Contact Center 128

AWS Machine Learning

JANUARY 28, 2025

Smart context management For interactive applications such as chatbots, include only relevant context instead of entire conversation history. This feature is particularly valuable for applications that frequently reuse context, such as document-based chat assistants or applications with repetitive query patterns.

Benchmark 71

Benchmark APIs Engineering Metrics 71

kommunicate

MAY 26, 2023

Last Updated on May 26, 2023 A Chatbot SDK (Software Development Kit) is a set of tools and resources that developers can use to build and deploy chatbots on various platforms. These kits typically include libraries, APIs, documentation, and sample code.

Chatbots 52

Chatbots APIs 52

AWS Machine Learning

FEBRUARY 10, 2025

Traditional chatbots are limited to preprogrammed responses to expected customer queries, but AI agents can engage with customers using natural language, offer personalized assistance, and resolve queries more efficiently. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 104

Enterprise Engineering APIs Chatbots 104

AWS Machine Learning

JULY 2, 2024

By incorporating their unique data sources, such as internal documentation, product catalogs, or transcribed media, organizations can enhance the relevance, accuracy, and contextual awareness of the language model’s outputs. The access ID associated with their authentication when the chat is initiated can be passed as a filter.

Healthcare 128

Healthcare APIs Government Accountability 128

AWS Machine Learning

APRIL 23, 2024

With Knowledge Bases for Amazon Bedrock, you can quickly build applications using Retrieval Augmented Generation (RAG) for use cases like question answering, contextual chatbots, and personalized search. For latest information, please refer to the documentation above. It calls the CreateDataSource and DeleteDataSource APIs.

APIs 126

APIs Enterprise Scripts Accountability 126

AWS Machine Learning

APRIL 8, 2024

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. It provides tools that offer data connectors to ingest your existing data with various sources and formats (PDFs, docs, APIs, SQL, and more). Choose Deploy again to create the endpoint.

APIs 120

APIs Engineering Accountability Construction 120

AWS Machine Learning

DECEMBER 13, 2024

New ad products across diverse markets involve a complex web of announcements, training, and documentation, making it difficult for sales teams to find precise information quickly. We developed an agentic workflow with RAG solution that revolves around a centralized knowledge base that aggregates Twitch internal marketing documentation.

Sales 98

Sales Advertising Engineering APIs 98

AWS Machine Learning

SEPTEMBER 20, 2024

Use cases overview Some key use cases for Amazon Q Business for organizations include: Providing grounded responses to employees: An organization can deploy Amazon Q Business on their internal data, documents, products, and services. The web experience can be created using either the AWS Management Console or the Amazon Q Business APIs.

Wireless 102

Wireless Enterprise APIs Chatbots 102