Remove Analytics Remove APIs Remove Examples Remove Technology
article thumbnail

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

For example, consider the following query: What is the cost of the book " " on ? 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 112
article thumbnail

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

AWS Machine Learning

The structured prompts include a sequence of question-thought-action-observation examples. The action is an API that the model can invoke from an allowed set of APIs. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls. The following diagram depicts the agent structure.

APIs 89
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. For Event Source Suffix , enter a suffix (for example, genesys-eb-poc-demo ). Save your configuration.

article thumbnail

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Business intelligence (BI) and analytics.

article thumbnail

Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning

Example use cases for this could be payment processing or high-volume account creation. The source of the data could be a system that generates these transactions—for example, ecommerce or banking. Call the Amazon Fraud Detector API using the GetEventPrediction action. An example use case is claims processing.

APIs 116
article thumbnail

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

For Meeting Assist Bedrock Knowledge Base Id (existing) , enter your existing knowledge base ID (for example, JSXXXXX3D8 ). If the meeting app (for example, Zoom.us) is supported by the LMA extension, the user’s name, meeting name, and active speaker names are automatically detected by the extension.

APIs 113
article thumbnail

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 117