Definition
A specialized Retrieval-Augmented Generation architecture optimized for the high-precision, numeric-heavy, and regulatory-compliant requirements of the finance industry. It focuses on the accurate extraction of data from complex documents like SEC filings, earnings transcripts, and spreadsheets, often requiring hybrid search and sophisticated table-parsing techniques to prevent hallucination of quantitative values.
Distinguished from General RAG by its focus on structured numeric data, temporal sensitivity, and the requirement for verifiable citations over creative synthesis.
"A forensic accountant with a high-powered searchlight and a cross-reference ledger, ensuring every number in a report can be traced back to its specific cell in an original filing."
- Table Extraction(Prerequisite)
- Hybrid Search(Component)
- Hallucination Guardrails(Component)
- Semantic Chunking(Component)
Conceptual Overview
A specialized Retrieval-Augmented Generation architecture optimized for the high-precision, numeric-heavy, and regulatory-compliant requirements of the finance industry. It focuses on the accurate extraction of data from complex documents like SEC filings, earnings transcripts, and spreadsheets, often requiring hybrid search and sophisticated table-parsing techniques to prevent hallucination of quantitative values.
Disambiguation
Distinguished from General RAG by its focus on structured numeric data, temporal sensitivity, and the requirement for verifiable citations over creative synthesis.
Visual Analog
A forensic accountant with a high-powered searchlight and a cross-reference ledger, ensuring every number in a report can be traced back to its specific cell in an original filing.