* feat(usage.py): add usage example for upserting documents in QdrantClient

usage.py

@@ -0,0 +1,31 @@
+from qdrant_client import QdrantClient
+
+# Initialize the client
+client = QdrantClient(":memory:")  # or QdrantClient(path="path/to/db")
+
+# Prepare your documents, metadata, and IDs
+docs = [
+    "Qdrant has Langchain integrations",
+    "Qdrant also has Llama Index integrations",
+    # ...more documents...
+]
+metadatas = [
+    {"source": "notion"},
+    {"source": "google-docs"},
+    # ...more metadata...
+]
+ids = [
+    1,
+    2,
+    3,
+    50,
+    63,
+]  # unique for each doc, if not mentioned, we'll insert this sequentially
+
+# Use the new upsert_docs method
+client.upsert_docs(
+    collection_name="demo_collection",
+    docs={"documents": docs, "metadatas": metadatas, "ids": ids},
+    batch_size=512,  # Adjust as needed
+    wait=True,  # Wait for the operation to complete
+)