AI · Multi-Agent Systems · 2026
Document Intelligence Agent
An enterprise RAG pipeline with an LLM-Ops feedback loop that keeps its own answers honest.
Overview
Innomatik needed their document mountain — contracts, reports, financial statements in every format — to answer questions instead of gathering dust. We built an end-to-end document intelligence agent: Apache Airflow pipelines ingest, clean, and index multi-format data into LlamaIndex, and LangChain agents sit on top, letting teams interrogate the entire corpus through a chat interface and auto-generate financial reports from it.
The part that makes this production-grade rather than a demo is the LLM-Ops layer. Automated evaluation tasks continuously score retrieval precision and summary quality, feeding a loop that catches degradation as new documents arrive — so accuracy is maintained by the system itself, not by someone noticing the answers got worse.
Highlights
- Airflow ingestion of multi-format corpora into LlamaIndex
- Conversational RAG over the full document set
- Automated financial report generation
- Continuous retrieval-precision and summary-quality evals
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Document Intelligence Agent