Update main.py

main.py

@@ -287,7 +287,7 @@ def find_similar_conversation(
     return {"conversation": conv, "score": score}
 
 
-def find_top_k_similar(question: str, k: int = 3) -> list[dict[str, Any]]:
+def find_top_k_similar(question: str, k: int = 3, exclude_id: str | None = None) -> list[dict[str, Any]]:
     idx = load_embed_index()
     if not idx or SentenceTransformer is None:
         return []
@@ -298,6 +298,8 @@ def find_top_k_similar(question: str, k: int = 3) -> list[dict[str, Any]]:
 
     results: list[tuple[str, float]] = []
     for cid, data in idx.items():
+        if exclude_id and cid == exclude_id:
+            continue
         try:
             vec = np.array(data["vector"], dtype=float)
         except Exception:
@@ -592,7 +594,7 @@ async def api(request: Request):
         if match and match.get("conversation"):
             conversation = match["conversation"]
             best = best_answer_payload(conversation)
-            related = find_top_k_similar(question, k=3)
+            related = find_top_k_similar(question, k=3, exclude_id=conversation.get("id"))
             return JSONResponse({
                 "ok": True,
                 "matched": True,