awslabs / rhubarbLinks
A Python framework for multi-modal document understanding with Amazon Bedrock
☆93Updated this week
Alternatives and similar repositories for rhubarb
Users that are interested in rhubarb are comparing it to the libraries listed below
Sorting:
- Cloud-native, AI-powered, document processing pipelines on AWS.☆179Updated 3 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆76Updated this week
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆77Updated 8 months ago
- ☆93Updated this week
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆104Updated 2 weeks ago
- ☆40Updated last month
- This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gat…☆133Updated 2 weeks ago
- Workshop Studio☆155Updated last year
- ☆23Updated 2 months ago
- ☆65Updated last year
- Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis☆63Updated this week
- Try Artifacts and Code Interpreter Tool with Amazon Bedrock.☆101Updated 3 weeks ago
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆81Updated 6 months ago
- ☆154Updated 2 weeks ago
- Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.☆76Updated this week
- Mistral on AWS examples for Bedrock & SageMaker☆72Updated last week
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆34Updated last year
- Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).☆104Updated 2 months ago
- Generative AI on AWS Immersion Day☆50Updated last month
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆73Updated 7 months ago
- aws-solutions-library-samples / guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-awsThis Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.☆40Updated 8 months ago
- ☆23Updated 3 months ago
- ☆27Updated 2 months ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆246Updated 2 months ago
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆26Updated 3 months ago
- ☆129Updated last month
- ☆51Updated 2 months ago
- ☆123Updated this week
- ☆104Updated this week
- ☆30Updated 4 months ago