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[geaflow/ai-memory] Harden keyword index serialization golden tests #856
Context: Keyword retrieval exists through Lucene/keyword vectors, but the main branch behavior has been described as rebuilding during query and vulnerable to noisy common tokens.
Scope:
Add golden tests for keyword tokenization, serialization, reload, Unicode, stopwords, and common-token pollution.
Ensure incremental add/delete expected behavior is documented.
Constraints:
Do not implement a new keyword engine.
Coordinate with any existing resident keyword index PR.
Acceptance Criteria:
Golden tests fail if tokenization or serialization changes unexpectedly.
Common tokens do not dominate exact graph anchoring fixtures.
PR with the golden tests: #877. It targets master's current behavior only (no engine changes) — including the single-shot build/close/search lifecycle and the KeywordVector{vec=[...]} wrapper tokens, so the resident index work has explicit goldens to update when it changes them.
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E2ern1ty commentedon Oct 9, 2026
PR with the golden tests: #877. It targets master's current behavior only (no engine changes) — including the single-shot build/close/search lifecycle and the
KeywordVector{vec=[...]}wrapper tokens, so the resident index work has explicit goldens to update when it changes them.