Add Qdrant named arguments (#1386)

This PR:
- Increases `qdrant-client` version to 1.0.4
- Introduces custom content and metadata keys (as requested in #1087)
- Moves all the `QdrantClient` parameters into the method parameters to
simplify code completion

tests/integration_tests/vectorstores/test_qdrant.py

@@ -1,18 +1,46 @@
 """Test Qdrant functionality."""
+import pytest
+
 from langchain.docstore.document import Document
 from langchain.vectorstores import Qdrant
 from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
 
 
-def test_qdrant() -> None:
+@pytest.mark.parametrize(
+    ["content_payload_key", "metadata_payload_key"],
+    [
+        (Qdrant.CONTENT_KEY, Qdrant.METADATA_KEY),
+        ("foo", "bar"),
+        (Qdrant.CONTENT_KEY, "bar"),
+        ("foo", Qdrant.METADATA_KEY),
+    ],
+)
+def test_qdrant(content_payload_key: str, metadata_payload_key: str) -> None:
     """Test end to end construction and search."""
     texts = ["foo", "bar", "baz"]
-    docsearch = Qdrant.from_texts(texts, FakeEmbeddings(), host="localhost")
+    docsearch = Qdrant.from_texts(
+        texts,
+        FakeEmbeddings(),
+        host="localhost",
+        content_payload_key=content_payload_key,
+        metadata_payload_key=metadata_payload_key,
+    )
     output = docsearch.similarity_search("foo", k=1)
     assert output == [Document(page_content="foo")]
 
 
-def test_qdrant_with_metadatas() -> None:
+@pytest.mark.parametrize(
+    ["content_payload_key", "metadata_payload_key"],
+    [
+        (Qdrant.CONTENT_KEY, Qdrant.METADATA_KEY),
+        ("test_content", "test_payload"),
+        (Qdrant.CONTENT_KEY, "payload_test"),
+        ("content_test", Qdrant.METADATA_KEY),
+    ],
+)
+def test_qdrant_with_metadatas(
+    content_payload_key: str, metadata_payload_key: str
+) -> None:
     """Test end to end construction and search."""
     texts = ["foo", "bar", "baz"]
     metadatas = [{"page": i} for i in range(len(texts))]
@@ -21,12 +49,25 @@ def test_qdrant_with_metadatas() -> None:
         FakeEmbeddings(),
         metadatas=metadatas,
         host="localhost",
+        content_payload_key=content_payload_key,
+        metadata_payload_key=metadata_payload_key,
     )
     output = docsearch.similarity_search("foo", k=1)
     assert output == [Document(page_content="foo", metadata={"page": 0})]
 
 
-def test_qdrant_max_marginal_relevance_search() -> None:
+@pytest.mark.parametrize(
+    ["content_payload_key", "metadata_payload_key"],
+    [
+        (Qdrant.CONTENT_KEY, Qdrant.METADATA_KEY),
+        ("test_content", "test_payload"),
+        (Qdrant.CONTENT_KEY, "payload_test"),
+        ("content_test", Qdrant.METADATA_KEY),
+    ],
+)
+def test_qdrant_max_marginal_relevance_search(
+    content_payload_key: str, metadata_payload_key: str
+) -> None:
     """Test end to end construction and MRR search."""
     texts = ["foo", "bar", "baz"]
     metadatas = [{"page": i} for i in range(len(texts))]
@@ -35,6 +76,8 @@ def test_qdrant_max_marginal_relevance_search() -> None:
         FakeEmbeddings(),
         metadatas=metadatas,
         host="localhost",
+        content_payload_key=content_payload_key,
+        metadata_payload_key=metadata_payload_key,
     )
     output = docsearch.max_marginal_relevance_search("foo", k=2, fetch_k=3)
     assert output == [