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FinTech Startup6 Weeks Duration

Enterprise RAG Latency & Precision Optimization

"Redesigned a naive RAG pipeline into a high-performance semantic search architecture, integrating a cross-encoder re-ranker and semantic caching to drastically reduce TTFT (Time To First Token) and eliminate hallucinations in financial querying."

Architecture & Stack

Next.js 15PineconeLangChainGemini 1.5 ProCohere Re-rank

Evaluation Dashboard

Precision@10

94%

+51% via Domain-Specific Embedding fine-tuning

Baseline was: 62

NDCG Score

0.89

Double relevance via BM25 + Dense Hybrid Search

Baseline was: 0.45

Faithfulness

99.2%

Near-zero hallucination via strict prompt grounding

Baseline was: 85

End-to-End Latency

450ms

78% reduction via Semantic Caching & Edge Functions

Baseline was: 2100