[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10775":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":22,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":43,"readmeContent":44,"aiSummary":45,"trendingCount":16,"starSnapshotCount":16,"syncStatus":46,"lastSyncTime":47,"discoverSource":48},10775,"aws-genai-llm-chatbot","aws-samples\u002Faws-genai-llm-chatbot","aws-samples","A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS","https:\u002F\u002Faws-samples.github.io\u002Faws-genai-llm-chatbot\u002F",null,"TypeScript",1398,436,26,31,0,5,20.92,"MIT No Attribution",false,"main",true,[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"amazon-bedrock","aurora","aws","bedrock","cdk","chatbot","claude","genai","huggingface","idefics","kendra","langchain","llm","opensearch","opensearch-serverless","pgvector","sagemaker","semantic-search","vectordb","2026-06-12 02:02:26","# AWS GenAI LLM Chatbot\n\nEnterprise-ready generative AI chatbot with RAG capabilities.\n\n## Overview\n\nThe AWS GenAI LLM Chatbot is a production-ready solution that enables organizations to deploy a secure, feature-rich chatbot powered by large language models (LLMs) with Retrieval Augmented Generation (RAG) capabilities.\n\n## Key Features\n\n- **Multiple LLM Support**: Amazon Bedrock (Claude, Llama 2), SageMaker, and custom model endpoints\n- **Nexus Gateway Integration**: Connect to Nexus Gateway for additional model access\n- **Comprehensive RAG Implementation**: Connect to various data sources for context-aware responses\n- **Enterprise Security**: Fine-grained access controls, audit logging, and data encryption\n- **Conversation Memory**: Full conversation history with persistent storage\n- **Web UI and API Access**: Modern React interface and API endpoints for integration\n- **Cost Optimization**: Token usage tracking and cost management features\n- **Deployment Flexibility**: Multiple deployment options to fit your needs\n\n## Getting Started\n\nThis blueprint deploys the complete AWS GenAI LLM Chatbot solution in your AWS account.\n\n### Prerequisites\n\n- AWS Account with appropriate permissions\n- AWS CLI configured with credentials\n- Node.js 18+ and npm\n- Python 3.8+\n- AWS CDK CLI version compatible with aws-cdk-lib 2.206.0 or later\n  ```bash\n  # Install or update the CDK CLI globally\n  npm install -g aws-cdk@latest\n  \n  # Verify the installed version\n  cdk --version\n  ```\n\n> **Important**: The CDK CLI version must be compatible with the aws-cdk-lib version used in this project (currently 2.206.0). If you encounter a \"Cloud assembly schema version mismatch\" error during deployment, update your CDK CLI to the latest version using the command above.\n\n### Deployment\n\nThe deployment process is fully automated using AWS CDK and SeedFarmer.\n\n## Architecture\n\nThe solution architecture includes:\n\n- Amazon Bedrock for LLM access\n- Amazon OpenSearch for vector storage\n- Amazon S3 for document storage\n- Amazon Cognito for authentication\n- AWS Lambda for serverless processing\n- Amazon API Gateway for API access\n- React-based web interface\n\n## Documentation\n\nFor complete documentation, visit the [GitHub repository](https:\u002F\u002Fgithub.com\u002Faws-samples\u002Faws-genai-llm-chatbot).\n\n## License\n\nThis project is licensed under the MIT-0 License.\n","AWS GenAI LLM Chatbot 是一个企业级生成式AI聊天机器人解决方案，支持多种大型语言模型（LLM）和检索增强生成（RAG）功能。项目核心功能包括多LLM支持（如Amazon Bedrock、SageMaker等）、全面的RAG实现、细粒度的安全控制及成本优化特性。技术上，它使用了TypeScript编写，并通过AWS CDK在AWS云平台上进行部署，集成了Amazon OpenSearch、S3等多种AWS服务。该聊天机器人适合需要高安全性、可定制化以及强大对话能力的企业场景，如客户服务、知识管理等。此外，还提供了现代化的React界面与API接口以便于集成。",2,"2026-06-11 03:30:06","top_topic"]