Pipeline design
Production retrieval is a pipeline: ingestion, chunking, metadata, embeddings, lexical search, vector search, reranking, and answer evaluation.
Hybrid search, embedding pipelines, metadata strategy, reranking, and evals for RAG systems in production.
Production retrieval is a pipeline: ingestion, chunking, metadata, embeddings, lexical search, vector search, reranking, and answer evaluation.
Before changing models, inspect misses, ambiguous chunks, stale documents, filters, and query intent.
Embedding pipelines, hybrid search, metadata filters, reranking, and stable eval sets for RAG systems.
Regression suites, adversarial cases, trace review, cost tracking, and evidence that a system is ready to ship.
Shipped systems where this concept runs in production.