Feature: Qdrant filters supports (#5446)

# Support Qdrant filters

Qdrant has an [extensive filtering
system](https://qdrant.tech/documentation/concepts/filtering/) with rich
type support. This PR makes it possible to use the filters in Langchain
by passing an additional param to both the
`similarity_search_with_score` and `similarity_search` methods.

## Who can review?

@dev2049 @hwchase17

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>

docs/modules/indexes/vectorstores/examples/qdrant.ipynb

@@ -399,6 +399,31 @@
     "print(f\"\\nScore: {score}\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Metadata filtering\n",
+    "\n",
+    "Qdrant has an [extensive filtering system](https://qdrant.tech/documentation/concepts/filtering/) with rich type support. It is also possible to use the filters in Langchain, by passing an additional param to both the `similarity_search_with_score` and `similarity_search` methods."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "```python\n",
+    "from qdrant_client.http import models as rest\n",
+    "\n",
+    "query = \"What did the president say about Ketanji Brown Jackson\"\n",
+    "found_docs = qdrant.similarity_search_with_score(query, filter=rest.Filter(...))\n",
+    "```"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "markdown",
    "id": "c58c30bf",