Professional teams sit on large document sets — contracts, SOPs, policies, technical specs — that keyword search cannot answer questions about. Generic LLM tools answer confidently but cannot show where the answer came from, which rules them out for regulated work.
What I did
01Ingest: Docling parses PDFs, contracts and reports — including complex tables, headers and multi-column layouts — into clean structured chunks.
02Index: chunks are dual-indexed, as BM25 keyword tokens in OpenSearch and as sentence-transformer dense vectors, so lexical and semantic matches both hit.
03Reason: a LangGraph agent grades retrieved passages and decides whether to fetch more context or rewrite the question before answering.
04Answer: responses carry exact page numbers, quoted excerpts and a confidence score, so a reviewer can verify every claim.
Outcome
Every module ships containerised and independently versioned against a shared knowledge engine, with controls aligned to ISO 27001, SOC 2 principles, AES-256 encryption and GDPR/HIPAA privacy requirements.
