chore: import upstream snapshot with attribution

application/vectorstore/vector_creator.py

@@ -0,0 +1,24 @@
+from application.vectorstore.faiss import FaissStore
+from application.vectorstore.elasticsearch import ElasticsearchStore
+from application.vectorstore.milvus import MilvusStore
+from application.vectorstore.mongodb import MongoDBVectorStore
+from application.vectorstore.qdrant import QdrantStore
+from application.vectorstore.pgvector import PGVectorStore
+
+
+class VectorCreator:
+    vectorstores = {
+        "faiss": FaissStore,
+        "elasticsearch": ElasticsearchStore,
+        "mongodb": MongoDBVectorStore,
+        "qdrant": QdrantStore,
+        "milvus": MilvusStore,
+        "pgvector": PGVectorStore
+    }
+
+    @classmethod
+    def create_vectorstore(cls, type, *args, **kwargs):
+        vectorstore_class = cls.vectorstores.get(type.lower())
+        if not vectorstore_class:
+            raise ValueError(f"No vectorstore class found for type {type}")
+        return vectorstore_class(*args, **kwargs)