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Endigest AI Core Summary
This post explains how to build an intelligent personal finance assistant by combining LlamaParse and Gemini 3.1 Pro to extract structured data from complex financial PDFs.
•LlamaParse bridges traditional OCR and vision-language agentic parsing, achieving 13–15% improvement over raw document processing in benchmarks
•The workflow uses a two-model architecture: Gemini 3.1 Pro for layout-aware agentic parsing and Gemini 3 Flash for cost-efficient final summarization
•The four-stage pipeline covers ingestion, event routing via ParsingDoneEvent, parallel text and table extraction, and LLM-based synthesis
•LlamaIndex Workflows automatically runs text and table extraction in parallel by having both steps listen to the same ParsingDoneEvent
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ctx.collect_events synchronizes the parallel extraction results before Gemini generates the final human-readable summary
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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