Initial release: VARS - personalized LLM with RAG and user vector learning

1 files changed, 23 insertions, 0 deletions

diff --git a/src/personalization/feedback/schemas.py b/src/personalization/feedback/schemas.py
new file mode 100644
index 0000000..b15db80
--- /dev/null
+++ b/src/personalization/feedback/schemas.py
@@ -0,0 +1,23 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import List, Optional, Any
+import numpy as np
+
+from personalization.retrieval.preference_store.schemas import MemoryCard
+
+@dataclass
+class TurnSample:
+    user_id: str
+    session_id: str
+    turn_id: int        # index of q_t within the session
+    query_t: str        # q_t
+    answer_t: str       # a_t
+    query_t1: str       # q_{t+1}
+    memories: List[MemoryCard]   # A_t
+
+    # Optional pre-computed vectors and features
+    query_embedding_t: Optional[np.ndarray] = None
+    query_embedding_t1: Optional[np.ndarray] = None
+    memory_embeddings: Optional[np.ndarray] = None   # corresponding e_m or v_m for memories
+