We audit, diagnose, and fix broken AI pipelines — delivering measurable retrieval accuracy with frozen benchmarks and deterministic evaluation harnesses.
LiteVector Solutions is an applied AI engineering agency specializing in enterprise retrieval systems, agentic workflows, and production-grade AI pipelines that are tested, not trusted.
Founded by Syed Abdullah Ijaz Shah — an Applied AI Systems Engineer with hands-on expertise in hybrid RAG architectures, LangGraph stateful agents, cross-encoder re-ranking, and scientific evaluation harnesses — we don't build demos; we deliver deterministic results with frozen benchmarks and measurable delta scores.
BM25 sparse + Dense vector retrieval with FlashRank cross-encoder re-ranking for enterprise-grade accuracy on every query.
LangGraph stateful agents with human-in-the-loop review gates. No autonomous hallucinations — every critical decision is checkpointed.
25-query golden benchmark sets that are locked before optimization. Before-vs-after delta proofs — not vibes.
From rapid diagnostics to full pipeline overhauls — every engagement is backed by frozen benchmarks and delta-scored proofs.
Enterprise-grade AI pipelines — from bespoke RAG systems and intelligent chatbots to autonomous agents and document intelligence. Engineered with scientific benchmarks.
A rapid, evidence-based assessment of your retrieval pipeline's failure modes — chunk sizing, re-ranking gaps, hallucination rates, and refusal accuracy.
Full pipeline rebuild — hybrid BM25 + Dense retrieval, FlashRank re-ranking, LangGraph HITL agents, and before-vs-after delta proofs on your data.
Continuous monitoring, regression testing, and prompt-drift detection. We ensure your AI stays accurate long after deployment.
Have a unique AI challenge that doesn't fit a neat box? Perfect — that's where we thrive. Tell us the problem, and we'll engineer the solution.