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mkdocs.yml
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# Project
site_name: Amazon Bedrock Recipes
copyright: Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
site_author: Bedrock-GTM
site_description: Amazon Bedrock cookbook website
site_url: https://github.amazon-bedrock-samples.com
# Repository
repo_name: "Github: Amazon-Bedrock-Samples"
repo_url: "https://github.com/aws-samples/amazon-bedrock-samples/tree/main"
# Plugins
plugins:
- tags:
# tags_hierarchy: true
tags_file: 'general/tags.md'
- search:
separator: '[\s\u200b\-_,:!=\[\]()"`/]+|\.(?!\d)|&[lg]t;|(?!\b)(?=[A-Z][a-z])'
- minify:
minify_html: true
- tags:
tags: false
tags_allowed:
- Agents
- Multi-Agent-Collaboration
- Knowledge-Bases
- RAG
- Prompt-Engineering
- Langchain
- LlamaIndex
- Evaluation
- Embedding
- Batch-Inference
- Fine-Tuning
- Custom-Model-Import
- LLM-as-Judge
- Responsible-AI
- Guardrails
# # extras and additional configuration
extra:
generator: false
tags:
Compatibility: compat
social:
- icon: fontawesome/brands/github
link: https://github.com/aws-samples/amazon-bedrock-samples/tree/main
analytics:
feedback:
title: Was this page helpful?
ratings:
- icon: material/thumb-up-outline
name: This page was helpful
data: 1
note: >-
Thanks for your feedback!
- icon: material/thumb-down-outline
name: This page could be improved
data: 0
note: >-
Thanks for your feedback! Help us improve this page by
<a href="https://github.com/aws-samples/amazon-bedrock-samples/issues/new?title=[Online Feedback]: Short-Summary-of-Issue&body=Page URL: {url}" target="_blank" rel="noopener">creating an issue</a>.
extra_javascript:
- javascript/feedback.js
# Theme
theme:
name: material
logo: logo.png
font:
text: Roboto
code: Roboto Mono
icon:
repo: fontawesome/brands/git-alt
features:
- tags
- toc.integrate
- content.code.copy
- content.code.select
- content.code.annotate
- navigation.footer
# - navigation.sections
# - navigation.tabs
- search.highlight
- search.suggest
language: en
palette:
- scheme: default
primary: white
accent: purple
favicon: assets/favicon.png
# Extensions
markdown_extensions:
- attr_list
- admonition
- pymdownx.superfences
- def_list
- md_in_html
- pymdownx.arithmatex:
generic: true
- pymdownx.details
- pymdownx.mark
# Website Page Tree
nav:
- Home: 'index.md'
# - Get Started: 'general/get-started.md'
- Features:
- Intro to Amazon Bedrock:
- API Usage:
- Invoke Model API Example : './introduction-to-bedrock/bedrock_apis/01_invoke_api.md'
- Agents API Example: './introduction-to-bedrock/bedrock_apis/04_agents_api.md'
- Knowledge Bases API Example: './introduction-to-bedrock/bedrock_apis/03_knowledgebases_api.md'
- Guardrail API Example: './introduction-to-bedrock/bedrock_apis/02_guardrails_api.md'
- Converse API Example: './introduction-to-bedrock/converse_api/01_converse_api.md'
- Agents:
- Amazon Bedrock Agents:
- How to create an Agent: './agents-and-function-calling/introduction-to-agents/how_to_create_custom_agents.md'
- Bedrock Agent Features:
- Create Agent with Function Definition: './agents-and-function-calling/bedrock-agents/features-examples/01-create-agent-with-function-definition/01-create-agent-with-function-definition.md'
- Create Agent with API Schema: './agents-and-function-calling/bedrock-agents/features-examples/02-create-agent-with-api-schema/02-create-agent-with-api-schema.md'
- Create Agent with Return of Control: './agents-and-function-calling/bedrock-agents/features-examples/03-create-agent-with-return-of-control/03-create-agent-with-return-of-control.md'
- Create Agent with Single Knowledge Base: './agents-and-function-calling/bedrock-agents/features-examples/04-create-agent-with-single-knowledge-base/04-create-agent-with-single-knowledge-base.md'
- Create Agent with Knowledge Base and Action Group: './agents-and-function-calling/bedrock-agents/features-examples/05-create-agent-with-knowledge-base-and-action-group/05-create-agent-with-knowledge-base-and-action-group.md'
- Prompt and Session Attributes: './agents-and-function-calling/bedrock-agents/features-examples/06-prompt-and-session-attributes/06-prompt-and-session-attributes.md'
- Custom Prompt and Lambda Parsers: './agents-and-function-calling/bedrock-agents/features-examples/07-advanced-prompts-and-custom-parsers/07-custom-prompt-and-lambda-parsers.md'
- Create Agent with Guardrails: './agents-and-function-calling/bedrock-agents/features-examples/08-create-agent-with-guardrails/08-create-agent-with-guardrails.md'
- Create Agent with Memory: './agents-and-function-calling/bedrock-agents/features-examples/09-create-agent-with-memory/09-create-agent-with-memory.md'
- Create Agent with Code Interpreter: './agents-and-function-calling/bedrock-agents/features-examples/10-create-agent-with-code-interpreter/10-create-agent-with-code-interpreter.md'
- Bedrock Flows:
- Getting Started with Prompt Management Flows: './agents-and-function-calling/bedrock-agents/bedrock-flows/Getting_started_with_Prompt_Management_Flows.md'
- Use Case Examples:
- Text to SQL Agent: './agents-and-function-calling/bedrock-agents/use-case-examples/text-2-sql-agent/create_and_invoke_sql_agent.md'
- Retail Agent Workshop: './agents-and-function-calling/bedrock-agents/use-case-examples/agentsforbedrock-retailagent/workshop/test_retailagent_agentsforbedrock.md'
- Product Review Agent: './agents-and-function-calling/bedrock-agents/use-case-examples/product-review-agent/main.md'
- Multi Agent:
- Multi Agent Orchestration: './agents-and-function-calling/introduction-to-agents/how_to_create_multi_agents_from_custom_agents.md'
- Function Calling:
- Function Calling with Converse: './agents-and-function-calling/function-calling/function_calling_with_converse/function_calling_with_converse.md'
- Function Calling with Invoke: './agents-and-function-calling/function-calling//function_calling_with_invoke/function_calling_model_with_invoke.md'
- Return of Control: './agents-and-function-calling/function-calling/return_of_control/return_of_control.md'
- Tool Binding: './agents-and-function-calling/function-calling/tool_binding/tool_bindings.md'
- Open Source:
- CrewAI:
- Find Dream Destination with CrewAI: './agents-and-function-calling/open-source-agents/crew.ai/Find dream destination with CrewAI.md'
- LangGraph:
- LangGraph Agent with Function Calling: './agents-and-function-calling/open-source-agents/langgraph/langgraph-single-agent.md'
- LangGraph Multi-Modal Agent with Function Calling: './agents-and-function-calling/open-source-agents/langgraph/langgraph-agents-multimodal.md'
- LangGraph Multi Agent Orchestration: './agents-and-function-calling/open-source-agents/langgraph/langgraph-multi-agent-sql-tools.md'
- LangGraph Multi Agent For Medical Chatbot: './agents-and-function-calling/open-source-agents/langgraph/02_medibot_V3_agents.md'
- LangGraph Fact Checker with Multi Agent: './agents-and-function-calling/open-source-agents/langgraph/langgraph-fact-checker-feedback-loop.md'
- LangGraph Multi Agent With SQL tools: './agents-and-function-calling/open-source-agents/langgraph/langgraph-multi-agent-sql-tools.md'
- LangGraph Multi Agent with tools: './agents-and-function-calling/open-source-agents/langgraph/03_langgraph_agents_of_agent.md'
- Managing Memory for Multi Agents: './agents-and-function-calling/open-source-agents/langgraph/Travel_planner_with_langgraph.md'
- RAG:
- Amazon Bedrock Knowledge Bases:
- Zero Setup:
- Chat with Your Document: './rag/knowledge-bases/features-examples/00-zero-setup-chat-with-your-document/chat_with_document_kb.md'
- RAG Concepts:
- Create and Ingest Documents with Multi-Data Sources: './rag/knowledge-bases/features-examples/01-rag-concepts/01_create_ingest_documents_test_kb_multi_ds.md'
- Managed RAG with Custom Prompting: './rag/knowledge-bases/features-examples/01-rag-concepts/02_managed_rag_custom_prompting_and_no_of_results.md'
- Customized RAG with Claude 3 and Langchain: './rag/knowledge-bases/features-examples/01-rag-concepts/03_customized-rag-retreive-api-hybrid-search-claude-3-sonnet-langchain.md'
- RAG Evaluation with Langchain and RAGAS: './rag/knowledge-bases/features-examples/01-rag-concepts/04_customized-rag-retreive-api-langchain-claude-evaluation-ragas.md'
- Optimizing Retrieval Results:
- Advanced Chunking Options: './rag/knowledge-bases/features-examples/02-optimizing-accuracy-retrieved-results/advanced_chunking_options.md'
- CSV Metadata Customization: './rag/knowledge-bases/features-examples/02-optimizing-accuracy-retrieved-results/csv_metadata_customization.md'
- Query Reformulation: './rag/knowledge-bases/features-examples/02-optimizing-accuracy-retrieved-results/query_reformulation.md'
- Advanced Concepts:
- Dynamic Metadata Filtering: './rag/knowledge-bases/features-examples/03-advanced-concepts/dynamic-metadata-filtering/dynamic-metadata-filtering-KB.md'
- Reranking:
- Deploy Reranking Model: './rag/knowledge-bases/features-examples/03-advanced-concepts/reranking/01_deploy-reranking-model-sm.md'
- Knowledge Base Reranker: './rag/knowledge-bases/features-examples/03-advanced-concepts/reranking/02_kb-reranker.md'
- QA Generator: './rag/knowledge-bases/features-examples/03-advanced-concepts/reranking/qa-generator.md'
- Responsible AI:
- Contextual Grounding: './rag/knowledge-bases/features-examples/05-responsible-ai/contextual-grounding.md'
- Use Case Examples:
- Metadata Filter Access Control:
- End-to-End ACL with Knowledge Base: './rag/knowledge-bases/use-case-examples/metadata-filter-access-control/kb-end-to-end-acl.md'
- RAG with Structured and Unstructured Data:
- Create Dummy Structured Data: './rag/knowledge-bases/use-case-examples/rag-using-structured-unstructured-data/0-create-dummy-structured-data.md'
- Create SQL Dataset (Optional): './rag/knowledge-bases/use-case-examples/rag-using-structured-unstructured-data/1_create_sql_dataset_optional.md'
- RAG with Structured and Unstructured Data: './rag/knowledge-bases/use-case-examples/rag-using-structured-unstructured-data/2_rag_with_structured_unstructured_data.md'
- Open Source:
- Chatbot using Langchain: './rag/open-source/chatbots/qa_chatbot_langchain_bedrock.md'
- Chunking strategies for RAG applications: './rag/open-source/chunking/rag_chunking_strategies_langchain_bedrock.md'
- Vector Stores:
- Langchain Chatbot with Opensearch: './rag/open-source/vector_stores/rag_langchain_bedrock_opensearch.md'
- Gen AI Usecases:
- Text Generation:
- Streaming Response with Converse: './genai-use-cases/text-generation/how_to_work_with_text_generation_w_bedrock.md'
- Generate Python Code with Converse: './genai-use-cases/text-generation/how_to_work_with_code_generation_w_bedrock.md'
# - Entity Extraction: './genai-use-cases/text-generation/how_to_work_with_entity_extraction_w_bedrock.md'
- Text Translation with Converse: './genai-use-cases/text-generation/how_to_work_with_text_translation_w_bedrock.md'
- Text summarization with Converse: './genai-use-cases/text-generation/how_to_work_with_text-summarization-titan+claude.md'
- Generate Bulk Emails with Batch Inference: './genai-use-cases/text-generation/how_to_work_with_batch_example_for_multi_threaded_invocation.md'
# - Governance: 'general/license.md'
# - Observability: 'general/license.md'
# - Data access control: 'general/license.md'
- Workshops:
- Open-source L400:
- Introduction to the Use Case: './workshop/open-source-l400/00_Lab_Intro to Use-Case.md'
- Find a Dream Destination using RAG: './workshop/open-source-l400/02_Lab_Find a Dream Destination_RAG query.md'
- Find Dream Destination with CrewAI: './workshop/open-source-l400/05_Lab_Find dream destination with CrewAI.md'
- Open-source L200:
- Introduction to the Use Case: './workshop/open-source-l200/02_contextual_text_generation.md'
- Retrieval Based Text Generation: './workshop/open-source-l200/03_retrieval_based_text_application.md'
- Retrieval Based Chat Application: './workshop/open-source-l200/04_retrieval_based_chat_application.md'
- Agent Based Text Generation: './workshop/open-source-l200/05_agent_based_text_generation.md'
- Tags: 'general/tags.md'
- License: 'general/license.md'