v1.8

New Features:

1. Multi-Agent Map-Reduce in Tutorial Notebook
   • Fully integrated into the notebook for hands-on experimentation.
   • Enables users to run and inspect the multi-agent pipeline directly when handling complex RAG queries.

2. Alternative PDF-to-Markdown Conversion Tools
   • Added multiple tool options for PDF-to-Markdown conversion within the notebook.
   • Improves flexibility and robustness when dealing with different PDF formats and extraction quality.

Improvements:

1. Enhanced Notebook Documentation
   • Expanded and clarified comments for each code block, including references to official documentation.
   • Improves readability and helps users better understand each pipeline component.

2. Troubleshooting Section Added
   • Introduced a dedicated troubleshooting section to address common issues.

v1.7

New Features:

1. Multi-Agent Map-Reduce for RAG Queries
   • Decomposes complex queries into parallel sub-queries to generate more comprehensive and accurate answers.
   • Enhanced parallelization of retrieval and generation steps for more efficient responses.

Improvements:

1. Codebase Refactoring
   • Performed structural cleanup to improve code readability and maintainability.
   • Simplified components to support easier extension and future development.

2. Updated Tutorial Notebook
   • Improved explanations and examples for better learning flow.
   • Added clearer guidance to help users understand and run the pipeline more effectively.

v1.6

New Features:
1. End-to-End Gradio Interface for RAG Pipeline
• Integrated a fully functional Gradio interface to streamline interaction with the RAG pipeline.
• Added PDF ingestion via file upload to populate the knowledge base.
• Implemented document deletion, allowing users to remove unwanted content from the system.
2. Modular Project Structure
• Refactored the codebase to adopt a modular architecture.
• Improved maintainability, readability, and scalability, making it easier to extend and integrate new components.

v1.5

features add:

1. conversation memory via summarization
2. human-in-the-loop query clarification

v1.0

Update Colab link in README