building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python and genai-bedrock-chatbot
These are complementary tools that address different aspects of Bedrock-based applications: the WhatsApp assistant focuses on multimodal input handling and conversation persistence across communication channels, while the SageMaker chatbot demonstrates knowledge retrieval and grounding with enterprise documentation, making them useful together for building production-ready generative AI systems with varied data sources and user interfaces.
About building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python
build-on-aws/building-gen-ai-whatsapp-assistant-with-amazon-bedrock-and-python
Build a genAI Whatsapp app that processes images, voice notes, videos, and documents with Amazon Bedrock, and also stores the conversation history.
This project helps businesses and individuals create a custom AI assistant that communicates directly through WhatsApp. You can input text, voice notes, images, videos, and documents, and the AI provides intelligent responses in multiple languages while remembering past conversations. This is designed for business owners, customer service managers, or anyone needing an automated, multimedia-savvy WhatsApp communication tool.
About genai-bedrock-chatbot
awslabs/genai-bedrock-chatbot
A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.
This project helps AWS solution architects and cloud engineers quickly create a sophisticated chatbot that can answer questions about complex technical documentation and pricing. You provide your own documents and structured data, and the chatbot answers questions in natural language, even converting some questions into database queries. This is ideal for quickly building custom Q&A systems over your domain-specific content.
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