Search all content using the tags

API-Usage-Example

• Getting Started with Prompt Management Flows
• Create Agent with Function Definition
• Create Agent with API Schema
• Create Agent with Code Interpreter
• How to create an Agent
• Generate Bulk Emails with Batch Inference
• Generate Python Code with Converse
• Text summarization with Converse
• Streaming Response with Converse
• Text Translation with Converse
• Batch inference cloudtrail analyzer
• Invoke Model API Example
• Guardrail API Example
• Knowledge Bases API Example
• Agents API Example
• Converse API Example
• Chat with Your Document

Agent/ Code-Interpreter

• Create Agent with Code Interpreter
• Generate syntetic data

Agent/ RAG

• Create Agent with Single Knowledge Base
• Create Agent with Knowledge Base and Action Group
• RAG Evaluation with Langchain and RAGAS

Agents/ Create

• How to create an Agent

Agents/ Function Calling

• Create Agent with Function Definition
• Create Agent with Single Knowledge Base
• Create Agent with Knowledge Base and Action Group
• Custom Prompt and Lambda Parsers
• Create Agent with Guardrails
• Create Agent with Code Interpreter
• Function Calling with Converse
• Function Calling with Invoke
• LangGraph Agent with Function Calling
• Dynamic Metadata Filtering

Agents/ Function Definition

• Create Agent with Function Definition
• Create Agent with API Schema
• Create Agent with Return of Control
• Prompt and Session Attributes
• Custom Prompt and Lambda Parsers
• Create Agent with Memory
• Agents API Example

Agents/ Memory

• Prompt and Session Attributes
• Create Agent with Memory

Agents/ Multi-Agent-Orchestration

• Multi Agent Orchestration
• LangGraph Fact Checker with Multi Agent
• LangGraph Multi Agent Orchestration
• RAG with Structured and Unstructured Data

Agents/ Multi-Modal

• LangGraph Multi-Modal Agent with Function Calling

Agents/ Return of Control

• Create Agent with Return of Control
• Return of Control
• Query Reformulation

Agents/ Tool Binding

• Create Agent with Return of Control
• Create Agent with Knowledge Base and Action Group
• Create Agent with Memory
• Tool Binding

Batch-Inference

• Batch inference cloudtrail analyzer

Bedrock/ Inference-Profiles

• Inference profile basics

Bedrock/ Prompt-Management

• Getting Started with Prompt Management Flows
• Prompt and Session Attributes

CMI-Example

• Flant5 finetune medical terms

Langchain

• 00 Lab Intro to Use Case
• 02 Lab Find a Dream Destination RAG query
• Introduction to the Use Case
• Find a Dream Destination using RAG

Open Source/ LangGraph

• LangGraph Multi-Modal Agent with Function Calling
• LangGraph Fact Checker with Multi Agent
• LangGraph Multi Agent Orchestration
• LangGraph Agent with Function Calling

Open Source/ Langchain

• Return of Control
• Tool Binding
• Customized RAG with Claude 3 and Langchain
• Deploy Reranking Model
• Chatbot using Langchain
• Chunking strategies for RAG applications
• Langchain Chatbot with Opensearch

Open Source/ LlamaIndex

• Tool Binding
• Chunking strategies for RAG applications

PoC-to-Prod

• Inference profile basics

Prompt-Engineering

• 00 Lab Intro to Use Case
• 02 Lab Find a Dream Destination RAG query
• Custom Prompt and Lambda Parsers
• Managed RAG with Custom Prompting
• QA Generator
• Introduction to the Use Case
• Find a Dream Destination using RAG

RAG

• 00 Lab Intro to Use Case
• 02 Lab Find a Dream Destination RAG query
• Introduction to the Use Case
• Find a Dream Destination using RAG

RAG/ Chunking-Strategies

• Advanced Chunking Options

RAG/ Data-Ingestion

• Generate syntetic data
• Chat with Your Document
• Create and Ingest Documents with Multi-Data Sources
• Managed RAG with Custom Prompting
• Customized RAG with Claude 3 and Langchain
• RAG Evaluation with Langchain and RAGAS
• Advanced Chunking Options
• CSV Metadata Customization
• Knowledge Base Reranker
• QA Generator
• Create Dummy Structured Data
• Create SQL Dataset (Optional)
• RAG with Structured and Unstructured Data
• 0 how to create index and ingest documents in knowledge base

RAG/ Knowledge-Bases

• Create Agent with Single Knowledge Base
• Create Agent with Guardrails
• Knowledge Bases API Example
• Chat with Your Document
• Create and Ingest Documents with Multi-Data Sources
• Managed RAG with Custom Prompting
• Customized RAG with Claude 3 and Langchain
• RAG Evaluation with Langchain and RAGAS
• Advanced Chunking Options
• CSV Metadata Customization
• Query Reformulation
• Dynamic Metadata Filtering
• Deploy Reranking Model
• Knowledge Base Reranker
• Contextual Grounding
• End-to-End ACL with Knowledge Base
• Create SQL Dataset (Optional)
• RAG with Structured and Unstructured Data
• Chatbot using Langchain
• Chunking strategies for RAG applications
• Langchain Chatbot with Opensearch

RAG/ Metadata-Filtering

• CSV Metadata Customization
• Query Reformulation
• Dynamic Metadata Filtering
• End-to-End ACL with Knowledge Base

Responsible-AI/ Guardrails

• Create Agent with Guardrails
• Contextual Grounding

Responsible-AI/Guardrails

• Guardrail API Example

Security/CloudTrail

• Batch inference cloudtrail analyzer

Use cases

• Create Agent with API Schema
• Retail Agent Workshop
• Product Review Agent
• Text to SQL Agent
• Multi Agent Orchestration
• Generate Bulk Emails with Batch Inference
• Generate Python Code with Converse
• Text summarization with Converse
• Streaming Response with Converse
• Text Translation with Converse
• Deploy Reranking Model
• QA Generator
• End-to-End ACL with Knowledge Base
• Create Dummy Structured Data

Vector-DB/ OpenSearch

• Create and Ingest Documents with Multi-Data Sources
• Knowledge Base Reranker
• Contextual Grounding
• Langchain Chatbot with Opensearch