awslabs / rhubarbLinks
A Python framework for multi-modal document understanding with Amazon Bedrock
☆95Updated last month
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 7 months ago
- Workshop Studio☆156Updated last year
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated 2 weeks ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆119Updated last week
- Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language model…☆33Updated 2 weeks ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆205Updated last week
- Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)☆89Updated 3 weeks ago
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆50Updated last year
- Mistral on AWS examples for Bedrock & SageMaker☆86Updated this week
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆94Updated 11 months ago
- 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…☆86Updated last year
- Foundation Model Evaluations Library☆265Updated 2 months ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 6 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆285Updated 2 weeks ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆167Updated 3 months ago
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆95Updated last month
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆126Updated 8 months ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆308Updated 3 weeks ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆85Updated 11 months ago
- ☆67Updated last year
- Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).☆111Updated 7 months ago
- ☆45Updated 8 months ago
- ☆23Updated 3 weeks 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
- ☆54Updated last month
- This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gat…☆170Updated 3 months ago
- ☆42Updated 6 months ago
- ☆108Updated last week
- Generative AI on AWS Immersion Day☆52Updated 6 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆149Updated 8 months ago