From Extraction to Accuracy: Evaluating Extracted Invoice Data with LLM-as-a-Judge
Author(s): Krishnan Srinivasan Originally published on Towards AI. (A practical, end-to-end guide to building a ground-truth-based evaluation pipeline, complete with synthetic data and runnable SQL on Snowflake) In the earlier parts of this Agentic AI series, we explored how AI systems can …
Building a Deal Desk Intelligence Agent with LangChain and OpenAI
Author(s): Krishnan Srinivasan Originally published on Towards AI. Most enterprise AI journeys begin with prompts. Teams use language models to summarize documents, classify tickets, or generate insights from unstructured text. These are valuable capabilities and often the first step in adopting AI …
Unlocking Embedded Visuals from Documents Using Snowflake Cortex
Author(s): Krishnan Srinivasan Originally published on Towards AI. Most document AI discussions focus on text extraction, OCR accuracy, table detection, layout parsing. These are familiar themes. But many enterprise documents are not just text-centric. Inspection reports, audit documents, supplier catalogs, safety manuals, …