Rhubarb documentation¶
Rhubarb is a light-weight Python framework that makes it easy to build document understanding applications using Multi-modal Large Language Models (LLMs) and Embedding models. Rhubarb is created from the ground-up to work with Amazon Bedrock and supports multiple foundation models including Anthropic Claude V3 Multi-modal Language Models, Amazon Nova Pro and Nova Lite models for document processing, and Amazon Titan Multi-modal Embedding model for embeddings.
Quickstart¶
Usage¶
- Introduction
- Usage
- Document Q&A
- Change Default Model
- Using Converse API
- Using Cross-Region Inference
- Specify Document Pages
- Large Document Processing
- Named Entity Recognition (NER)
- PII Recognition
- Structured Data Extraction
- Schema Creation Assistant
- Document Summarization
- Chat with Documents
- Working with images
- Document Classification
- See also: