Tag: Service Deep Dive

Amazon Kendra replaces keyword-based enterprise search with ML-powered natural language understanding — extracting precise answers from your documents with confidence scores, source citations, and automatic access control enforcement. This guide covers index architecture, three result types, 14+ data source connectors with ACL sync, the Kendra Retriever API for RAG with Bedrock, GenAI Index, pricing, security, and a comparison with Azure AI Search.

Amazon Lex brings Alexa-grade conversational AI to your applications — supporting both voice and text across multiple channels, with generative AI capabilities powered by Amazon Bedrock. This guide covers intent-based dialog architecture, Bedrock GenAI integration (Assisted NLU, QnA Intent, BedrockAgentIntent), Visual Conversation Builder, Automated Chatbot Designer, two interaction models (request-response vs streaming), pricing, security, Amazon Connect IVR integration, and a comparison with Azure Bot Service.

Amazon Polly converts text to lifelike speech through four voice engines — Standard, Neural, Long-Form, and Generative — across 30+ languages. This guide covers all engine tiers, SSML control, custom lexicons, Speech Marks, pricing, and a comparison with Azure AI Speech.

Amazon Transcribe converts speech to text at scale — supporting 100+ languages, real-time streaming, speaker diarization, PII redaction, and specialized variants for healthcare (Transcribe Medical) and contact centers (Call Analytics). This guide covers batch and streaming modes, custom vocabularies, pricing, security, and a comparison with Azure Speech to Text.

Amazon Comprehend extracts insights from unstructured text — sentiment, entities, key phrases, PII, and custom classifications — through simple API calls with no ML expertise required. This guide covers all core APIs, custom classification and entity recognition, PII redaction, toxicity detection, pricing, the April 2026 maintenance mode announcement, and a comparison with Azure AI Language.

Amazon Textract goes beyond OCR to extract structured data from invoices, forms, IDs, and loan packages using ML-powered APIs. This guide covers DetectDocumentText, AnalyzeDocument, Queries, AnalyzeExpense, AnalyzeID, Analyze Lending, Custom Queries, pricing, security, and a comparison with Azure AI Document Intelligence.