sample-chatbot-for-bedrock-knowledge-base-and-multimodal-llms and multi-modal-chatbot-with-advanced-rag

These tools are competitors, as both implement multi-modal chatbots with Amazon Bedrock and advanced RAG, differing in their specific feature sets and implementations.

Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 6/25
Maturity 9/25
Community 16/25
Stars: 32
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: MIT-0
Stars: 19
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: MIT-0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About sample-chatbot-for-bedrock-knowledge-base-and-multimodal-llms

aws-samples/sample-chatbot-for-bedrock-knowledge-base-and-multimodal-llms

Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration

Leverages Streamlit for the UI while integrating with Amazon Bedrock's retrieval-augmented generation (RAG) capabilities through Knowledge Bases, supporting both Claude and Nova multimodal models. Enables image uploads alongside text queries for enriched context, with helper scripts to programmatically create and manage knowledge bases backed by S3 document storage. Architecture uses Bedrock's embedding and LLM APIs to retrieve relevant documents and generate contextual responses based on selected models and knowledge base selection.

About multi-modal-chatbot-with-advanced-rag

aws-samples/multi-modal-chatbot-with-advanced-rag

Amazon Bedrock Q&A multi-modal chatbot with advanced RAG

Scores updated daily from GitHub, PyPI, and npm data. How scores work