feat(memory): LLM-powered entity and relation extraction pipeline (#1225)#1247
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feat(memory): LLM-powered entity and relation extraction pipeline (#1225)#1247
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) Add GraphExtractor and EntityResolver for Phase 2 of graph memory. GraphExtractor uses chat_typed_erased for structured LLM extraction with graceful parse-failure degradation. EntityResolver performs case-insensitive entity resolution with unknown-type coercion to Concept, edge deduplication, and temporal supersession. Includes entity name sanitization (control chars, BiDi overrides, length cap), edges_exact() for unidirectional queries, and 33 new tests.
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Summary
GraphExtractorwith LLM-powered entity/relation extraction viachat_typed_erased, 10-rule system prompt, truncation guards, and graceful parse-failure degradation (Ok(None))EntityResolverwith case-insensitive entity resolution (exact name+type match, unknown types coerced toConcept), edge deduplication, and temporal supersession of contradictory edgesGraphStore::edges_exact()for unidirectional edge queries (PERF-01 fix)graph-memorywith explicitzeph-llm/schemadependencyTest delta: 4084 → 4094 (+33 new tests, 10 from security/perf fixes)
Test plan
cargo +nightly fmt --checkpassescargo clippy --workspace --features full -- -D warningspasses (zero warnings)cargo nextest run --config-file .github/nextest.toml --workspace --features full --lib --binspasses (4094/4094)Closes #1225