all-information-retrieval-is-fault-tolerant

OUT derived (depth 4)

Every information retrieval path — structured reads (FTS search with index self-healing, staleness checking with deterministic output, compact with pure bounded distillation) and LLM-synthesized queries (ask with bounded tool loops and raw search fallback) — degrades gracefully rather than failing, ensuring the system always returns useful results

Summary

No matter how you query the system — whether through direct database searches or AI-powered questions — it will always give you something useful back instead of crashing or returning nothing. This matters because it means the knowledge base stays accessible even when things go wrong, like a missing search index or an unavailable language model.

Justifications

SL — Structured reads (depth-3) and LLM-synthesized queries (depth-1) are independently fault-tolerant; combining them reveals that ALL information retrieval is fault-tolerant, with no query path that can produce an error instead of a result

Antecedents (all must be IN):

  • all-read-paths-are-deterministic-and-resilient — Every read-path operation produces deterministic output resilient to environmental variation: search handles missing FTS5 indexes via self-healing derived indexes and substring fallback, staleness checking produces sorted uniformly-structured CI-pipeline-ready results, and compact generates predictable bounded output from a pure function with fixed priority ordering.
  • ask-is-fault-tolerant-and-bounded — The ask module is fault-tolerant (always returns a string, catches LLM failures, falls back to raw FTS5 search) and execution-bounded (tool loop capped at 3 iterations), ensuring reliable bounded knowledge retrieval regardless of LLM availability.

Dependents

These beliefs depend on this one:

Details