Enterprise RAG Platform for Major International Bank

The bank faced significant challenges with their document-heavy operations: • Over 500,000 documents scattered across multiple legacy systems • Manual document review taking 45+ minutes per case • Inconsistent information retrieval across departments • Regulatory compliance requiring accurate document trails • Staff spending 60% of time on document search and retrieval

We implemented a comprehensive RAG (Retrieval-Augmented Generation) platform: **Document Ingestion Pipeline** • Built automated ingestion for PDFs, Word docs, scanned images with OCR • Implemented multilingual document processing • Created semantic chunking optimized for financial documents **Vector Search Infrastructure** • Deployed enterprise-grade vector database with 99.99% uptime SLA • Implemented hybrid search combining semantic and keyword matching • Built custom embeddings model fine-tuned on banking terminology **LLM Integration Layer** • Integrated with secure, on-premise LLM deployment • Built guardrails for compliance and accuracy • Created audit trails for all AI-generated responses **User Interface** • Developed intuitive search interface for staff • Built department-specific views and access controls • Created mobile-responsive design for field operations