awslabs / rhubarbLinks
A Python framework for multi-modal document understanding with Amazon Bedrock
☆100Updated 2 weeks ago
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.☆185Updated 9 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated last month
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆124Updated 2 months ago
- Workshop Studio☆158Updated 2 years ago
- Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language model…☆35Updated last month
- 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…☆90Updated last year
- Mistral on AWS examples for Bedrock & SageMaker☆87Updated 3 weeks ago
- Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).☆112Updated 9 months ago
- Foundation Model Evaluations Library☆275Updated 4 months ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 8 months ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆179Updated last month
- This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gat…☆183Updated 5 months ago
- 🚀 Extract information from your documents with Generative AI☆105Updated last month
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆312Updated 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)☆96Updated 2 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated 3 weeks ago
- A generative AI-powered framework for testing virtual agents.☆323Updated 2 weeks ago
- ☆54Updated 3 months ago
- ☆24Updated 2 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆211Updated last month
- ☆111Updated 2 weeks ago
- End to end example of a Retail Agent implemented with agents for Amazon Bedrock☆37Updated last year
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆31Updated 9 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.☆42Updated last year
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 10 months ago
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆50Updated last year
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆190Updated this week
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆150Updated 10 months ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆317Updated this week
- Learn how to quickly build Agents with Amazon Bedrock☆103Updated last year