rebuild_qdrant.py: also create the job_role keyword index needed for filtering

scripts/rebuild_qdrant.py

@@ -71,6 +71,16 @@ def main() -> int:
         vectors_config=VectorParams(size=VECTOR_SIZE, distance=Distance.COSINE),
     )
 
+    # The app filters questions by job_role, which requires a keyword payload
+    # index — without it Qdrant returns HTTP 400 and the interview silently
+    # falls back to generic default questions.
+    client.create_payload_index(
+        collection_name=COLLECTION_NAME,
+        field_name="job_role",
+        field_schema="keyword",
+    )
+    logging.info("Created keyword payload index on 'job_role'")
+
     # Build the points. We embed the QUESTION text, exactly like the original
     # notebook, and store role/question/answer in the payload.
     questions, payloads = [], []