
The Oracle Of All Files - High-accuracy RAG pipeline for multi-format document processing.
Built a high-accuracy retrieval-augmented generation (RAG) pipeline with automated format normalization, transformer-based embeddings, and Astra DB vector search, delivering context-rich answers with 97%+ accuracy across 10,000+ multi-format documents.
Engineered precision-oriented context retrieval and synthesis using adaptive text chunking, semantic similarity thresholds, and relevance-ranked retrieval – processing complex queries end-to-end in approximately 20 seconds to ensure maximum recall and factual correctness at scale (more than 1,000 daily document queries).