Twenty years of documents, answered in seconds
Client: Global Finance Corp
- 90%
- reduction in research time
- 100%
- answers with source citations
- 20 yrs
- of archives made searchable
The challenge
Analysts spent hours digging through two decades of unstructured PDF reports, filings, and internal memos to answer questions that clients expected same-day.
What we built
We built an enterprise RAG platform with hybrid retrieval, metadata filtering, and citation-accurate grounding — every answer links back to the exact source page, so analysts can verify before they publish.
How we did it
- 01
Audited the document estate: 20 years of PDFs, filings, and memos in eleven formats, including scanned documents that needed OCR.
- 02
Built a structure-aware ingestion pipeline that preserves tables, headers, and cross-references during chunking instead of naively splitting text.
- 03
Implemented hybrid retrieval — semantic embeddings plus keyword search — with a reranking stage, because financial jargon and ticker symbols don't embed well.
- 04
Made every answer citation-accurate: each claim links to the exact source page, a hard requirement from the compliance team.
- 05
Shipped with a golden-question eval set built with senior analysts, and gated every retrieval change on measured accuracy.
The result
Research that took days now takes minutes, with every claim traceable to a source document — a requirement their compliance team wouldn't bend on.
Stack
Services used
- AI & GenAI
- Data Engineering
More work