I Built an 8-Node Agentic RAG System That Handles India’s Most Complex Government PDFs — Here’s…

1. 1Build an 8-node agentic RAG system using Python
2. 2Implement Parallel Execution (Fan-out) for concurrent processing
3. 3Configure LlamaParse VLM for chart-to-table parsing
4. 4Test the system with complex government PDFs
5. 5Apply the system to real-world document parsing tasks
6. 6Compare the results with traditional parsing methods

Data scientists and software engineers working with complex document parsing tasks can benefit from this approach to improve the accuracy and efficiency of their workflows

💡 Parallel Execution and LlamaParse VLM can significantly improve the accuracy and efficiency of document parsing tasks

💡 Built an 8-node agentic RAG system to parse complex gov PDFs with 99% accuracy! 📊