docs, community: aerospike docs update

docs/docs/integrations/vectorstores/aerospike.ipynb

@@ -29,8 +29,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "PROXIMUS_HOST = \"<avs-ip>\"\n",
-    "PROXIMUS_PORT = 5000"
+    "AVS_HOST = \"<avs-ip>\"\n",
+    "AVS_PORT = 5000"
    ]
   },
   {
@@ -51,7 +51,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install --upgrade --quiet aerospike-vector-search==0.6.1 langchain-community sentence-transformers langchain"
+    "!pip install --upgrade --quiet aerospike-vector-search==3.0.1 langchain-community sentence-transformers langchain"
    ]
   },
   {
@@ -369,7 +369,7 @@
     "from langchain_community.vectorstores import Aerospike\n",
     "\n",
     "# Here we are using the AVS host and port you configured earlier\n",
-    "seed = HostPort(host=PROXIMUS_HOST, port=PROXIMUS_PORT)\n",
+    "seed = HostPort(host=AVS_HOST, port=AVS_PORT)\n",
     "\n",
     "# The namespace of where to place our vectors. This should match the vector configured in your docstore.conf file.\n",
     "NAMESPACE = \"test\"\n",
@@ -401,7 +401,7 @@
     "        vector_field=VECTOR_KEY,\n",
     "        vector_distance_metric=MODEL_DISTANCE_CALC,\n",
     "        dimensions=MODEL_DIM,\n",
-    "        index_meta_data={\n",
+    "        index_labels={\n",
     "            \"model\": \"miniLM-L6-v2\",\n",
     "            \"date\": \"05/04/2024\",\n",
     "            \"dim\": str(MODEL_DIM),\n",

libs/community/langchain_community/vectorstores/aerospike.py

@@ -168,7 +168,7 @@ def add_texts(
 
         Args:
             texts: Iterable of strings to add to the vectorstore.
-            metadatas: Optional list of metadatas associated with the texts.
+            metadatas: Optional list of metadata associated with the texts.
             ids: Optional list of ids to associate with the texts.
             set_name: Optional aerospike set name to add the texts to.
             batch_size: Batch size to use when adding the texts to the vectorstore.