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 122

Chatbots APIs Engineering Enterprise 122

AWS Machine Learning

APRIL 18, 2024

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 with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 129

Scripts Best practices Engineering Accountability 129

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 by the web application to the API.

APIs 135

APIs Scripts Enterprise Engineering 135

AWS Machine Learning

MARCH 6, 2025

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API. Its used by the weather_agent() function.

APIs 89

APIs Scripts Enterprise Management 89

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. Dynamic information retrieval – Amazon Bedrock agents can use web search APIs to fetch up-to-date information on a wide range of topics.

APIs 106

APIs Chatbots Construction Engineering 106

AWS Machine Learning

JULY 11, 2024

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 135

Scripts APIs Engineering industry standards 135

AWS Machine Learning

SEPTEMBER 24, 2024

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. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Contact Center 100

Contact Center Analytics Accountability Self service 100

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. a) to augment its knowledge, along with the user query (3.b). In practice, the knowledge base is often a vector store.

Chatbots 89

Chatbots Metrics Scripts APIs 89

Spearline

JULY 21, 2022

And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Flip the script With testingRTC, you only need to write scripts once, you can then run them multiple times and scale them up or down as you see fit. Happy days!

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. Please read this post to learn how to implement the RAG approach with Amazon Kendra.

APIs 121

APIs Healthcare Scripts Engineering 121

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. Knowledge Base: bankingFAQ Should I invest in bitcoins?

Best practices 98

Best practices APIs Metrics Accountability 98

AWS Machine Learning

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.

Analytics 126

Analytics APIs Engineering Construction 126

Balto

JANUARY 6, 2025

Knowledge base creation: Create FAQs and support resources to ease the load on your team and handle more customers. Customizable Knowledge Base: Encourage customer self-service by creating and maintaining extensive knowledge bases with guides, tutorials, and FAQs.

Call Center 52

Call Center Coaching Surveys Contact Center 52

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. Instead of only fulfilling predefined intents through a static decision tree, agents are autonomous within the context of their suite of available tools.

Scripts 125

Scripts Chatbots Accountability Multi-channel support 125

AWS Machine Learning

JUNE 12, 2024

Solution overview In this solution, we deploy a custom web experience for Amazon Q to deliver quick, accurate, and relevant answers to your business questions on top of an enterprise knowledge base. Amazon Q uses the chat_sync API to carry out the conversation. You can also find the script on the GitHub repo.

APIs 135

APIs Enterprise Accountability Feedback 135

AWS Machine Learning

JANUARY 6, 2023

The absence of relevancy or mapping from a streaming company’s catalog to large knowledge bases of movies and shows can result in a sub-par search experience for customers that query OOC content, thereby lowering the interaction time with the platform. Wait until the script provisions all the required resources and finishes running.

Entertainment 100

Entertainment APIs Scripts Analytics 100

AWS Machine Learning

MARCH 14, 2024

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, Mistral AI, Stability AI, and Amazon via a single API. Knowledge base responses come with source citations to improve transparency and minimize hallucinations.

Best practices 132

Best practices Engineering Chatbots Enterprise 132

AWS Machine Learning

OCTOBER 1, 2024

You only consume the services through their API. To understand better how Amazon Cognito allows external applications to invoke AWS services, refer to refer to Secure API Access with Amazon Cognito Federated Identities, Amazon Cognito User Pools, and Amazon API Gateway. We discuss this later in the post.

Chatbots 87

Chatbots APIs Scripts Management 87

AWS Machine Learning

MAY 25, 2023

Chunking of knowledge base documents. We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. The Streamlit application invokes the API Gateway endpoint REST API. The API Gateway invokes the Lambda function.

APIs 94

APIs Enterprise Accountability Chatbots 94

AWS Machine Learning

AUGUST 9, 2024

RAG is a process that optimizes the output of LLMs by allowing them to reference authoritative knowledge bases outside of their training data sources before generating a response. What is RAG? For more details see the OpenSearch documentation on structuring a search query.

Government 129

Government Healthcare Construction Engineering 129

COPC

OCTOBER 26, 2023

Crafting LLM AI Assistants: Roles, Process and Timelines Using the latest AI may seem as easy as developers using APIs in commercial LLM options like OpenAI. But it’s much more than enlisting engineers to call LLM APIs. LLM interactions differ from prior generations of chatbots, which required scripted interactions.

Technology 76

Technology Customer Experience APIs Consulting 76

AWS Machine Learning

MAY 3, 2023

An application using the RAG approach retrieves information most relevant to the user’s request from the enterprise knowledge base or content, bundles it as context along with the user’s request as a prompt, and then sends it to the LLM to get a GenAI response.

Enterprise 87

Enterprise Chatbots APIs Government 87

AWS Machine Learning

AUGUST 14, 2023

An application using the RAG approach retrieves information most relevant to the user’s request from the enterprise knowledge base or content, bundles it as context along with the user’s request as a prompt, and then sends it to the LLM to get a response. script to preprocess and index the provided demo data.

Enterprise 88

Enterprise Scripts Best practices Analytics 88

Enghouse Interactive

OCTOBER 21, 2020

That self-service will be their first point of contact and they are willing to deal with digital assistants (chatbots, knowledge bases, voice authentication, etc.) Optimize your Knowledge Base to ensure it supports a wide range of types of “Augmented Conversations” across all possible issues.

Self service 79

Self service Contact Center Benchmark Chatbots 79

JivoChat

JULY 14, 2021

By combining a knowledge base with how-to tutorials, and answers to frequently asked questions, organizations can automate the handling of many customer queries. Knowledge bases : a knowledge base is a specialized static area of your site that provides how-to guides and answers to frequently asked questions.

Self service 52

Self service Chatbots B2B Customer centricity 52

Balto

AUGUST 23, 2024

Knowledge base creation: Create FAQs and support resources to ease the load on your team and handle more customers. Customizable Knowledge Base: Encourage customer self-service by creating and maintaining extensive knowledge bases with guides, tutorials, and FAQs.

Call Center 52

Call Center Coaching Surveys Contact Center 52

The Northridge Group

MAY 2, 2023

It can also be easily integrated via APIs with popular apps such as Slack, Instacart, Snapchat, or Facebook Messenger for easy access across multiple platforms. Many existing chat technologies still rely on simple scripts and pre-programmed generic responses, which do not add value to the conversation.

Contact Center 67

Contact Center B2C Chatbots B2B 67

Netomi

JANUARY 5, 2023

Authentic intelligence in 2023 is at the heart of an advanced CX solution, using inputs from systems and APIs, historical data, customer profiles, and cutting-edge conversational design. This means there is little room for the customer to go off-script. Conversations powered by authentic intelligence will feel more organic.

Chatbots 52

Chatbots Airlines Scripts Customer Support 52

JivoChat

APRIL 23, 2023

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. Types of Chatbots Help Center Chatbots The help center chatbots learn using your knowledge base and suggest articles that contain the best solution to help the customers. Or you can connect to another platform via our API.

Chatbots 75

Chatbots B2C Self service B2B 75

Balto

JANUARY 14, 2025

API Strategies: Use API integration to connect disparate systems, ensuring smooth data flow. Immediate access to knowledge bases or FAQs. Generative AI for Customer Interactions Generative AI models, like GPT-based systems, are revolutionizing how businesses interact with customers. Absolutely.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

NobelBiz

APRIL 16, 2024

Utilize templates and predefined scripts to maintain consistency. CRM Connectors and API Integrations: Updating CRM client profiles in real-time just got easier. Example: Promotional offers might be communicated differently on social media compared to email campaigns, leading to confusion and potentially diluting brand trust.

Contact Center 52

Contact Center CRM Call Center Best practices 52

JustCall

MARCH 9, 2023

Call Recording and Analytics Software Call recordings are analyzed for important moments that indicate whether reps are following or deviating from their call plan/script. Conversation intelligence software provides sentiment analysis based on voice tone, word choice, and other cues. These features facilitate more autonomous tasks.

Coaching 52

Coaching Sales Chatbots Analytics 52

JustCall

APRIL 24, 2023

through standard APIs Easily manage customer data and keep track of interactions across multiple channels Enable agents to: Log into their queues Manage multiple statuses Perform various tasks according to their skills Top Features of XCALLY Web architecture XCALLY offers real-time asynchronous web architecture with real-time panels.

voip 52

voip CRM Enterprise Call Center 52

JustCall

MARCH 23, 2023

For example, you can use call analytics to track the performance of your call scripts. Voicemail – Voicemail recording that also automatically creates tickets based on the message. Self-help service – FAQs and a knowledge base can be integrated so customers can find answers faster.

Interactive Voice Response 52

Interactive Voice Response call center solutions CRM Contact Center 52

Quiq

DECEMBER 22, 2021

Some businesses write chatbot scripts to be overly formal: avoiding contractions, using proper English, and completing their thought in one long sentence. They likely have a question they can’t answer with your knowledge base. With Instagram’s API, you message your customers within the Quiq platform. Facebook Messenger.

Best practices 52

Best practices Chatbots Interactive Voice Response Wait times 52

AWS Machine Learning

MARCH 19, 2024

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. The user can use the Amazon Recognition DetectText API to extract text data from these images. Choose Create knowledge base.

Construction 137

Construction Scripts APIs Enterprise 137

AWS Machine Learning

NOVEMBER 14, 2023

The solution also uses Amazon Bedrock , a fully managed service that makes foundation models (FMs) from Amazon and third-party model providers accessible through the AWS Management Console and APIs. For this post, we use the Amazon Bedrock API via the AWS SDK for Python. The script instantiates the Amazon Bedrock client using Boto3.

APIs 132

APIs Engineering Scripts Education 132