fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore

- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available)
- Integrate GPU deduplication into multi_agent/consensus_engine.py
- Add semantic_search() method to memory/semantic_graph.py with GPU acceleration
- Integrate GPU training into self_improvement/training.py AutoTrainer
- Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names)
- Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.)
- Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint])
- Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds
- Add type hints and docstrings to verification/outcome.py
- Fix E402 import ordering in witness_agent.py
- Fix F821 undefined names in vector_pgvector.py and native.py
- Fix E741 ambiguous variable names in reflective.py and recommender.py

All 276 tests pass. 0 ruff errors. 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>

fusionagi/memory/semantic_graph.py

@@ -3,14 +3,13 @@
 from __future__ import annotations
 
 from collections import defaultdict
-from typing import Any
 
+from fusionagi._logger import logger
 from fusionagi.schemas.atomic import (
     AtomicSemanticUnit,
     AtomicUnitType,
     SemanticRelation,
 )
-from fusionagi._logger import logger
 
 
 class SemanticGraphMemory:
@@ -93,6 +92,46 @@ class SemanticGraphMemory:
         for r in relations:
             self.add_relation(r)
 
+    def semantic_search(
+        self,
+        query: str,
+        top_k: int = 10,
+    ) -> list[tuple[AtomicSemanticUnit, float]]:
+        """Search stored units by semantic similarity using GPU when available.
+
+        Args:
+            query: Query text to search for.
+            top_k: Number of top results to return.
+
+        Returns:
+            List of (unit, similarity_score) tuples sorted by score descending.
+        """
+        try:
+            from fusionagi.memory.gpu_search import semantic_search
+
+            all_units = list(self._units.values())
+            return semantic_search(query, all_units, top_k=top_k)
+        except ImportError:
+            return self._cpu_search(query, top_k)
+
+    def _cpu_search(
+        self,
+        query: str,
+        top_k: int,
+    ) -> list[tuple[AtomicSemanticUnit, float]]:
+        """CPU fallback: word-overlap similarity."""
+        query_words = set(query.lower().split())
+        scored: list[tuple[AtomicSemanticUnit, float]] = []
+        for unit in self._units.values():
+            unit_words = set(unit.content.lower().split())
+            if not unit_words:
+                continue
+            overlap = len(query_words & unit_words)
+            score = overlap / max(len(query_words | unit_words), 1)
+            scored.append((unit, score))
+        scored.sort(key=lambda x: x[1], reverse=True)
+        return scored[:top_k]
+
     def _evict_one(self) -> None:
         """Evict oldest unit (simple FIFO on first key)."""
         if not self._units: