RAG Pipeline Engineering
Cut LLM token spend 52% without losing accuracy.
Production-grade retrieval-augmented generation built around your proprietary data: domain-tuned chunking, hybrid search (BM25 + dense), cross-encoder reranking, and an eval harness your team can run in CI. You ship a system that holds up under real traffic, not just a demo on a clean dataset.
Deliverables
- Domain-tuned chunking & embedding strategy
- Hybrid retrieval (BM25 + dense) + cross-encoder reranking
- Evaluation harness with golden-set regression tests in CI
- Langfuse / Phoenix tracing wired into your stack
- Handoff runbook + recorded architecture walkthrough