diff --git a/docs/docs/integrations/vectorstores/astradb.ipynb b/docs/docs/integrations/vectorstores/astradb.ipynb
index 1777788e3a..fc3ebac563 100644
--- a/docs/docs/integrations/vectorstores/astradb.ipynb
+++ b/docs/docs/integrations/vectorstores/astradb.ipynb
@@ -44,7 +44,7 @@
    "metadata": {},
    "source": [
     "_Note: depending on your LangChain setup, you may need to install/upgrade other dependencies needed for this demo_\n",
-    "_(specifically, recent versions of `datasets` `openai` `pypdf` and `tiktoken` are required)._"
+    "_(specifically, recent versions of `datasets`, `openai`, `pypdf` and `tiktoken` are required)._"
    ]
   },
   {
@@ -65,7 +65,6 @@
     "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.prompts import ChatPromptTemplate\n",
     "\n",
-    "# if not present yet, run: pip install \"datasets==2.14.6\"\n",
     "from langchain.schema import Document\n",
     "from langchain.schema.output_parser import StrOutputParser\n",
     "from langchain.schema.runnable import RunnablePassthrough\n",
@@ -145,7 +144,7 @@
    "outputs": [],
    "source": [
     "ASTRA_DB_API_ENDPOINT = input(\"ASTRA_DB_API_ENDPOINT = \")\n",
-    "ASTRA_DB_TOKEN = getpass(\"ASTRA_DB_TOKEN = \")"
+    "ASTRA_DB_APPLICATION_TOKEN = getpass(\"ASTRA_DB_APPLICATION_TOKEN = \")"
    ]
   },
   {
@@ -159,7 +158,7 @@
     "    embedding=embe,\n",
     "    collection_name=\"astra_vector_demo\",\n",
     "    api_endpoint=ASTRA_DB_API_ENDPOINT,\n",
-    "    token=ASTRA_DB_TOKEN,\n",
+    "    token=ASTRA_DB_APPLICATION_TOKEN,\n",
     ")"
    ]
   },
@@ -171,6 +170,14 @@
     "### Load a dataset"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "552e56b0-301a-4b06-99c7-57ba6faa966f",
+   "metadata": {},
+   "source": [
+    "Convert each entry in the source dataset into a `Document`, then write them into the vector store:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -190,6 +197,16 @@
     "print(f\"\\nInserted {len(inserted_ids)} documents.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "79d4f436-ef04-4288-8f79-97c9abb983ed",
+   "metadata": {},
+   "source": [
+    "In the above, `metadata` dictionaries are created from the source data and are part of the `Document`.\n",
+    "\n",
+    "_Note: check the [Astra DB API Docs](https://docs.datastax.com/en/astra-serverless/docs/develop/dev-with-json.html#_json_api_limits) for the valid metadata field names: some characters are reserved and cannot be used._"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "084d8802-ab39-4262-9a87-42eafb746f92",
@@ -213,6 +230,16 @@
     "print(f\"\\nInserted {len(inserted_ids_2)} documents.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "63840eb3-8b29-4017-bc2f-301bf5001f28",
+   "metadata": {},
+   "source": [
+    "_Note: you may want to speed up the execution of `add_texts` and `add_documents` by increasing the concurrency level for_\n",
+    "_these bulk operations - check out the `*_concurrency` parameters in the class constructor and the `add_texts` docstrings_\n",
+    "_for more details. Depending on the network and the client machine specifications, your best-performing choice of parameters may vary._"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c031760a-1fc5-4855-adf2-02ed52fe2181",
@@ -625,7 +652,7 @@
    "outputs": [],
    "source": [
     "ASTRA_DB_ID = input(\"ASTRA_DB_ID = \")\n",
-    "ASTRA_DB_TOKEN = getpass(\"ASTRA_DB_TOKEN = \")\n",
+    "ASTRA_DB_APPLICATION_TOKEN = getpass(\"ASTRA_DB_APPLICATION_TOKEN = \")\n",
     "\n",
     "desired_keyspace = input(\"ASTRA_DB_KEYSPACE (optional, can be left empty) = \")\n",
     "if desired_keyspace:\n",
@@ -645,7 +672,7 @@
     "\n",
     "cassio.init(\n",
     "    database_id=ASTRA_DB_ID,\n",
-    "    token=ASTRA_DB_TOKEN,\n",
+    "    token=ASTRA_DB_APPLICATION_TOKEN,\n",
     "    keyspace=ASTRA_DB_KEYSPACE,\n",
     ")"
    ]
diff --git a/libs/langchain/langchain/vectorstores/astradb.py b/libs/langchain/langchain/vectorstores/astradb.py
index ef36065ed0..ed972a479c 100644
--- a/libs/langchain/langchain/vectorstores/astradb.py
+++ b/libs/langchain/langchain/vectorstores/astradb.py
@@ -34,7 +34,7 @@ DocDict = Dict[str, Any]  # dicts expressing entries to insert
 #   (20 is the max batch size for the HTTP API at the time of writing)
 DEFAULT_BATCH_SIZE = 20
 # Number of threads to insert batches concurrently:
-DEFAULT_BULK_INSERT_BATCH_CONCURRENCY = 5
+DEFAULT_BULK_INSERT_BATCH_CONCURRENCY = 16
 # Number of threads in a batch to insert pre-existing entries:
 DEFAULT_BULK_INSERT_OVERWRITE_CONCURRENCY = 10
 # Number of threads (for deleting multiple rows concurrently):
@@ -139,6 +139,20 @@ class AstraDB(VectorStore):
                 threads in a batch to insert pre-existing entries.
             bulk_delete_concurrency (Optional[int]): Number of threads
                 (for deleting multiple rows concurrently).
+
+        A note on concurrency: as a rule of thumb, on a typical client machine
+        it is suggested to keep the quantity
+            bulk_insert_batch_concurrency * bulk_insert_overwrite_concurrency
+        much below 1000 to avoid exhausting the client multithreading/networking
+        resources. The hardcoded defaults are somewhat conservative to meet
+        most machines' specs, but a sensible choice to test may be:
+            bulk_insert_batch_concurrency = 80
+            bulk_insert_overwrite_concurrency = 10
+        A bit of experimentation is required to nail the best results here,
+        depending on both the machine/network specs and the expected workload
+        (specifically, how often a write is an update of an existing id).
+        Remember you can pass concurrency settings to individual calls to
+        add_texts and add_documents as well.
         """
 
         # Conflicting-arg checks:
@@ -330,6 +344,12 @@ class AstraDB(VectorStore):
                 pre-existing documents in each batch (which require individual
                 API calls). Defaults to instance-level setting if not provided.
 
+        A note on metadata: there are constraints on the allowed field names
+        in this dictionary, coming from the underlying Astra DB API.
+        For instance, the `$` (dollar sign) cannot be used in the dict keys.
+        See this document for details:
+            docs.datastax.com/en/astra-serverless/docs/develop/dev-with-json.html
+
         Returns:
             List[str]: List of ids of the added texts.
         """