Update retriever_m3.py

retriever_m3.py

@@ -39,13 +39,14 @@ def find_similar_foundations_api(query: str, client, top_k: int = 5):
     if "Title" not in df.columns or "Purpose" not in df.columns:
         raise ValueError("Dataset must contain 'Title' and 'Purpose' columns.")
 
-    payload = {
-        "source_sentence": query,
-        "sentences": df["Purpose"].tolist()
-    }
     
     # Compute similarity against all missions
-    results = client.sentence_similarity(payload, model="BAAI/bge-m3")
+    results = client.sentence_similarity(
+        source_sentence=query,
+        other_sentences=df["Purpose"].tolist(),
+        model="BAAI/bge-m3"
+    )
+
 
     # Results = list of floats aligned with df
     scored = sorted(