Solution ready for review: add langchain_qdrant.py

langchain_qdrant.py

@@ -0,0 +1,21 @@
+"""Dummy langchain_qdrant module for local testing.
+
+Provides a minimal QdrantVectorStore class that mimics the interface used in main.py.
+"""
+
+class QdrantVectorStore:
+    def __init__(self, client, collection_name, embedding):
+        self.client = client
+        self.collection_name = collection_name
+        self.embedding = embedding
+
+    def similarity_search_with_score(self, query, k=3):
+        # Return empty list for simplicity
+        return []
+
+    def add_documents(self, documents, ids=None):
+        # No-op
+        pass
+
+    def __repr__(self):
+        return f"<Dummy QdrantVectorStore collection={self.collection_name}>"