RAG & Retrieval
Retrieval-augmented generation in production: BM25 + dense hybrid search, cross-encoder reranking, chunking per document type, metadata filtering, RBAC-aware retrieval and self-improving few-shot retrieval for text-to-SQL.
DocuMind AI — Grounded Multimodal Document Q&A at Scale
System design for a 1M-user document Q&A product: async multimodal ingestion, hybrid retrieval, a deterministic confidence gate that refuses instead of hallucinating, and hot/warm/cold session tiering.
Agentic AI Chatbot Platform
Production multi-agent assistant for cybersecurity & case management — a router agent dispatching to five specialist agents across hybrid RAG, text-to-SQL and action execution, on self-hosted vLLM.
Self-learning Few-shot Text-to-SQL
A retrieval-driven few-shot engine that harvests successful queries as exemplars and injects them dynamically — lifting text-to-SQL accuracy from 60% to 95% with no retraining.
Hybrid RAG Retrieval Pipeline
BM25 + dense semantic search with cross-encoder reranking, per-document-type chunking and metadata filtering over a 200+ document enterprise knowledge base.