Enterprise Document RAG & Policy Retrieval Engine
A citation-backed retrieval-augmented generation engine that indexes complex operating procedures and regulatory filings for instant query resolution.
The Operational Bottleneck
The Challenge
Operational teams lost hours searching across thousands of multi-page PDFs, technical specs, and contract files, often relying on outdated or conflicting documents.
Our Technical Execution
The Solution
Engineered an advanced hybrid search RAG pipeline utilizing parent-document chunking, dense vector indexing, and cross-encoder re-ranking to deliver factual answers with verified page citations.
System Architecture
Document ingestion microservice parses PDFs via Unstructured.io, computes embeddings with Cohere, and indexes into Qdrant. A FastAPI service handles semantic query routing with Next.js frontend UI.
Key Engineered Capabilities
- Hybrid BM25 + dense vector semantic search across multi-format documents
- Strict factuality guardrails preventing unverified statements
- Direct page-level source references with interactive document viewer
- Role-based document access controls respecting departmental permissions
Technology Stack
Engineered Deliverables
- Document Ingestion Pipeline
- Semantic Search & Chat Interface
- Role-Based Security Layer
- Evaluation Suite
Demonstrated Real-World Impact
Instant query resolution with verified references replacing manual searching
Zero hallucinations on corporate policy lookups through strict citation constraints
Direct integration into internal employee communication channels
Next Steps
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