From scanned documents to trusted summaries: Building auditable OCR-to-RAG pipelines

Generative AI can significantly accelerate document-intensive workflows in banking, but combining OCR, retrieval, and large language models introduces challenges around accuracy, explainability, cost, and regulatory compliance. In this webinar, we’ll explore how to design an end-to-end OCR-powered document summarization pipeline for banking use cases, with a strong focus on observability, governance, and production readiness. Using W&B Weave, we’ll show how engineers can build, evaluate, and monitor GenAI OCR systems that meet the demands of highly regulated environments.

What to expect: 

• A technical walkthrough of an OCR + RAG document summarization architecture for banking workloads

• A demo showing how to trace, evaluate, and debug the pipeline using W&B Weave

• Practical strategies for monitoring OCR quality, retrieval relevance, and LLM outputs in production

What you’ll learn:

• How to design OCR-to-RAG pipelines that minimize error propagation and latency

• Techniques for adding end-to-end observability and auditability to GenAI workflows

• How to detect and diagnose OCR failures, retrieval mismatches, and hallucinations

• Best practices for aligning GenAI systems with model risk management expectations and emerging regulations