Part 1Retrieval & RAG
Designing a RAG System for 10 Million Documents
How to size, build and measure retrieval-augmented generation over 10M documents: ingestion, hybrid retrieval, reranking, ACLs, cost and evals.
3 articles.
Part 1Retrieval & RAG
How to size, build and measure retrieval-augmented generation over 10M documents: ingestion, hybrid retrieval, reranking, ACLs, cost and evals.
Part 4Retrieval & RAG
How lexical, dense, learned-sparse and late-interaction retrieval fail differently, how to fuse them with RRF, and how to choose on your own traffic.
Part 8Cost, Latency & Serving
A layered semantic cache for LLM responses: scoped keys, tuned thresholds, borderline verification, invalidation, and false-hit-aware hit-rate metrics.