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Author SHA1 Message Date
cyb3rwr3n
cb6d6d46ab fix(memory/holographic): sanitize FTS5 queries for natural-language recall
The FactRetriever's _fts_candidates passed the raw query string directly
to FTS5's MATCH operator. FTS5 defaults to AND-between-tokens, which
means any multi-word prose query like 'what happened with the deployment
rollback' required every single token to co-occur in a fact — dropping
recall to zero on the kind of queries agents actually issue via prefetch().

Fix: add _sanitize_fts_query() that:
- tokenizes the query and drops English stopwords
- strips FTS5 operator characters per token
- OR-joins the remaining content tokens as phrase literals

For pathological inputs (all stopwords, empty), falls back to the raw
query so the caller sees zero results instead of a SQL error.

This is a pure-retrieval-quality fix — the HRR + Jaccard reranking
stages still keep precision high. Ships with 10 tests covering the
sanitizer and retrieval integration.
2026-06-30 15:55:11 -07:00