Skip to content

60 Days of Production AI Systems · chapter 5 of 10

Production RAG Operations

Knowledge in systems, multimodal evidence, freshness, recovery and evaluating retrieval in parts.

10 min in total

6 of 6 published

Chapter guide · 6 min readProduction RAG does not fail loudly, and that is the whole problemThe whole chapter in one read. Then go part by part below.

01
Day 25 · Explainer · 2 min read
Why production knowledge often lives in systems, not PDFs
Why production knowledge often lives in systems of record, not only in documents.
- Data & Databases
- Integration
On the map: Sources, Tools
02
Day 26 · Explainer · 2 min read
Why evidence is becoming multimodal
Why evidence quality changes when the source is visual, tabular, audio, or multimodal.
- Data & Databases
On the map: Ingestion
03
Day 27 · Explainer · 2 min read
Why freshness is part of correctness
Why freshness becomes part of correctness when the world changes faster than your index.
- Data & Databases
- Integration
On the map: Ingestion, Sources
04
Day 28 · Explainer · 2 min read
Why weak evidence should trigger recovery, not confidence
Why weak evidence should trigger recovery, not a fluent answer with false confidence.
- AI & Models
- Data & Databases
On the map: Retrieval
05
Day 29 · Explainer · 1 min read
Why reflection only matters when tied to evidence
Why reflection only helps when it checks the answer against evidence and changes behavior.
- AI & Models
On the map: Agent
06
Day 30 · Explainer · 1 min read
Why RAG must be evaluated in parts
Why RAG evaluation has to measure retrieval, grounding, generation, and citations separately.
- Observability & Ops
- Data & Databases
On the map: Observability, Retrieval