Skip to content

Latest commit

Β 

History

History
60 lines (43 loc) Β· 1.97 KB

File metadata and controls

60 lines (43 loc) Β· 1.97 KB

Event-Driven Agentic Document Workflows πŸš€πŸ“„πŸ€–

Welcome to the Event-Driven Agentic Document Workflows project! This repository contains a collection of Jupyter notebooks and tools for building intelligent document processing workflows using AI and event-driven architectures. πŸ§ πŸ’‘

Project Overview 🌟

This project explores various techniques for automating document workflows, including:

  • Document Parsing πŸ“‘
  • Retrieval-Augmented Generation (RAG) πŸ”πŸ€–
  • Human-in-the-Loop Systems πŸ‘©β€πŸ’»πŸ€
  • Voice-Enabled Interfaces πŸŽ™οΈπŸ—£οΈ

Each notebook focuses on a specific aspect of document workflow automation, providing hands-on examples and practical implementations.

Notebooks πŸ““

1. Building_Workflows.ipynb πŸ—οΈ

Learn how to create and manage event-driven document workflows. This notebook covers:

  • Workflow design patterns
  • Event handling
  • Workflow orchestration

2. RAG.ipynb πŸ”πŸ€–

Explore Retrieval-Augmented Generation techniques for document processing:

  • Document indexing and retrieval
  • Context-aware generation
  • Integration with LLMs

3. Form_Parsing.ipynb πŸ“

Discover automated form processing techniques:

  • PDF form extraction
  • Data validation
  • Structured data generation

4. Human in the Loop.ipynb πŸ‘©β€πŸ’»πŸ€

Implement human-in-the-loop systems for document workflows:

  • Human feedback integration
  • Quality control mechanisms
  • Adaptive learning systems

5. User your voice.ipynb πŸŽ™οΈπŸ—£οΈ

Build voice-enabled document processing interfaces:

  • Speech-to-text integration
  • Voice command processing
  • Natural language understanding

Getting Started πŸš€

  1. Clone this repository
  2. Install requirements: pip install -r requirements.txt
  3. Explore the notebooks!

Contributing 🀝

We welcome contributions! Please see our CONTRIBUTING.md for guidelines.

License πŸ“œ

This project is licensed under the MIT License - see the LICENSE file for details.