feat(memory-graph): consolidate into single autobot_memory_graph with semantic search (#3612)#3616
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mrveiss merged 2 commits intoDev_new_guifrom Apr 6, 2026
Merged
feat(memory-graph): consolidate into single autobot_memory_graph with semantic search (#3612)#3616mrveiss merged 2 commits intoDev_new_guifrom
mrveiss merged 2 commits intoDev_new_guifrom
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…_memory_graph (#3612) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…config.get, asyncio.run (#3612) - _parse_ft_results now extracts keys and _redis_search calls _fetch_entities_by_keys - Add SECRET_USAGE to secret/credential pattern in _ENTITY_TYPE_PATTERNS - Replace ssot_config.get() with getattr() (Pydantic model, not dict) - Replace asyncio.get_event_loop().run_until_complete() with asyncio.run() in all 6 test sites Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Closes #3612
Summary
semantic_search.pytoautobot_memory_graph/package withHybridScorerandMemoryGraphQueryProcessorHybridScorer: BM25 keyword + cosine similarity (60/40 weighting),combined_score()for rankingMemoryGraphQueryProcessor: 5-stage pipeline — intent extraction → Redis FT.SEARCH filter → embedding → hybrid re-rank; entity types use existing UPPERCASE constants (BUG,FEATURE,DECISION,TASK, etc.)ensure_indexes(): idempotentmemory_entity_idx+memory_fulltext_idxcreationknowledge/memory_graph/__init__.py: compat shim re-exporting fromautobot_memory_graphso PRs feat(knowledge): Redis memory graph schema — entity/relation indexes and chat integration (#3385) #3608/feat(knowledge): memory graph semantic search — query processor and hybrid scoring (#3384) #3609 continue to workWhy
Supersedes the parallel
knowledge/memory_graph/package introduced in PRs #3608/#3609 — all semantic search capability now lives in the canonicalautobot_memory_graphpackage with the existing graph_store code.