awslabs / rhubarbLinks
A Python framework for multi-modal document understanding with Amazon Bedrock
☆94Updated 2 months 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 5 months ago
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆116Updated last month
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆250Updated 4 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆78Updated last 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…☆82Updated 10 months ago
- Workshop Studio☆157Updated last year
- Mistral on AWS examples for Bedrock & SageMaker☆80Updated last week
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆264Updated 2 weeks ago
- Personal Chatbot powered by Amazon Bedrock LLMs with a data analytics feature that provides isolated servereless compute on Athena Spark …☆94Updated last week
- Foundation Model Evaluations Library☆263Updated 3 weeks ago
- Build complex, serverless, and highly scalable generative AI applications with prompt chaining.☆297Updated 3 weeks ago
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆158Updated last month
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆122Updated 6 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆201Updated 2 months ago
- ☆23Updated 4 months ago
- ☆41Updated 4 months ago
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆80Updated 9 months ago
- A generative AI-powered framework for testing virtual agents.☆286Updated 5 months ago
- ☆253Updated last year
- Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).☆108Updated 5 months ago
- ☆52Updated 4 months ago
- ☆39Updated 3 months ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆90Updated 9 months ago
- This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gat…☆151Updated last month
- ☆67Updated last year
- This Guidance provides best practices for building and deploying an intelligent document processing (IDP) architecture that scales with w…☆47Updated 10 months ago
- ☆99Updated last week
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆220Updated 7 months ago
- ☆179Updated last week
- ☆39Updated 9 months ago