Amazon Lex

Leverage large language models to resolve slot values when native NLU is unable to, handling free-form responses

Convert speech input to text with high accuracy, trained on telephony audio

Enable conversational answers to commonly asked customer questions using retrieval augmented generation (RAG) with foundation models

Create voice and text interfaces powered by generative AI with advanced natural language capabilities

Advanced NLU technology to understand user intent from natural language inputs

Automatically generate variations of sample utterances to improve intent classification accuracy using LLMs

Allow users to interrupt and override bot responses for more natural conversational flow

Native context management for multi-turn conversations without requiring custom code

Intelligent pause management for more natural sounding conversations

Build sophisticated multi-turn conversations where users are prompted for required information across multiple exchanges

Enable natural conversations with pauses and interruptions using streaming conversation APIs

Handle natural pauses and interruptions in conversations with advanced capabilities for natural sounding interactions

Leverage foundation models from Amazon and leading AI startups through Bedrock for generative AI capabilities

Native integration with AWS omnichannel cloud contact center for handling customer queries over chat or phone

Integrate intelligent search powered by machine learning to find accurate answers from unstructured documents and FAQs

Convert text responses to lifelike speech using standard or Neural Text-to-Speech voices

Native integration with AWS Lambda for data retrieval, updates, and business logic execution

Deploy chatbots across mobile devices and chat services like Facebook Messenger, Slack, Kik, or Twilio SMS