Simple vector search 70% accurate—advanced ranking, hybrid search, eval metrics for prod?
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Hey Evelyn, Beyond cosine: Hybrid BM25+vector Pinecone hybrid. Eval: RAGAS faithfulness 0.9+, context relevance 0.85. Rewrite: LLM decompose complex queries. Monitor: Drift alerts accuracy drop >5%. Prod: Top-k=5 → 88% recall boost.
Advanced stack: ColBERT dense retrieval + HyDE expansion. Metrics: Hit rate, MRR@5, end-end task success. Multi-query + rerank Cohere. Cost: Sparse index first. Dashboard: LangSmith traces. Client docs RAG: 72→94% accuracy, 60% latency cut.