feat: Qdrant Vector index support (#221)

This PR adds support for Qdrant - https://qdrant.tech/ to be used as a vector memory.

I've unit-tested the methods to confirm that they work as intended.

To run Qdrant

```
docker run -p 6333:6333 qdrant/qdrant
```

llama_stack/providers/adapters/memory/qdrant/config.py

@@ -0,0 +1,25 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from typing import Optional
+
+from llama_models.schema_utils import json_schema_type
+from pydantic import BaseModel
+
+
+@json_schema_type
+class QdrantConfig(BaseModel):
+    location: Optional[str] = None
+    url: Optional[str] = None
+    port: Optional[int] = 6333
+    grpc_port: int = 6334
+    prefer_grpc: bool = False
+    https: Optional[bool] = None
+    api_key: Optional[str] = None
+    prefix: Optional[str] = None
+    timeout: Optional[int] = None
+    host: Optional[str] = None
+    path: Optional[str] = None