diff --git a/docs/docs/integrations/providers/baidu.mdx b/docs/docs/integrations/providers/baidu.mdx
index bd5b1ce54de..67ed5efe409 100644
--- a/docs/docs/integrations/providers/baidu.mdx
+++ b/docs/docs/integrations/providers/baidu.mdx
@@ -24,6 +24,7 @@ from langchain_community.llms import QianfanLLMEndpoint
 ### Qianfan Chat Endpoint
 
 See a [usage example](/docs/integrations/chat/baidu_qianfan_endpoint).
+See another [usage example](/docs/integrations/chat/ernie).
 
 ```python
 from langchain_community.chat_models import QianfanChatEndpoint
@@ -34,6 +35,7 @@ from langchain_community.chat_models import QianfanChatEndpoint
 ### Baidu Qianfan
 
 See a [usage example](/docs/integrations/text_embedding/baidu_qianfan_endpoint).
+See another [usage example](/docs/integrations/text_embedding/ernie).
 
 ```python
 from langchain_community.embeddings import QianfanEmbeddingsEndpoint
diff --git a/docs/docs/integrations/providers/embedchain.mdx b/docs/docs/integrations/providers/embedchain.mdx
new file mode 100644
index 00000000000..9078c6ab71d
--- /dev/null
+++ b/docs/docs/integrations/providers/embedchain.mdx
@@ -0,0 +1,25 @@
+# Embedchain
+
+> [Embedchain](https://github.com/embedchain/embedchain) is a RAG framework to create 
+> data pipelines. It loads, indexes, retrieves and syncs all the data.
+>
+>It is available as an [open source package](https://github.com/embedchain/embedchain) 
+> and as a [hosted platform solution](https://app.embedchain.ai/).
+ 
+
+## Installation and Setup
+
+Install the package using pip:
+
+```bash
+pip install embedchain
+```
+
+
+## Retriever
+
+See a [usage example](/docs/integrations/retrievers/embedchain).
+
+```python
+from langchain_community.retrievers import EmbedchainRetriever
+```
diff --git a/docs/docs/integrations/providers/exa_search.ipynb b/docs/docs/integrations/providers/exa_search.ipynb
index c72dbd1c4a9..f9dbf9b5867 100644
--- a/docs/docs/integrations/providers/exa_search.ipynb
+++ b/docs/docs/integrations/providers/exa_search.ipynb
@@ -4,9 +4,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Exa Search\n",
+    "# Exa\n",
     "\n",
-    "Exa's search integration exists in its own [partner package](https://pypi.org/project/langchain-exa/). You can install it with:"
+    ">[Exa](https://exa.ai/) is a knowledge API for AI and developers.\n",
+    ">\n",
+    "\n",
+    "## Installation and Setup\n",
+    "\n",
+    "`Exa` integration exists in its own [partner package](https://pypi.org/project/langchain-exa/). You can install it with:"
    ]
   },
   {
@@ -26,7 +31,9 @@
     "\n",
     "## Retriever\n",
     "\n",
-    "You can use the [`ExaSearchRetriever`](/docs/integrations/tools/exa_search#using-exasearchretriever) in a standard retrieval pipeline. You can import it as follows"
+    "You can use the [`ExaSearchRetriever`](/docs/integrations/tools/exa_search#using-exasearchretriever) in a standard retrieval pipeline. You can import it as follows.\n",
+    "\n",
+    "See a [usage example](/docs/integrations/tools/exa_search).\n"
    ]
   },
   {
@@ -46,7 +53,40 @@
    "source": [
     "## Tools\n",
     "\n",
-    "You can use Exa as an agent tool as described in the [Exa tool calling docs](/docs/integrations/tools/exa_search#using-the-exa-sdk-as-langchain-agent-tools).\n"
+    "You can use Exa as an agent tool as described in the [Exa tool calling docs](/docs/integrations/tools/exa_search#using-the-exa-sdk-as-langchain-agent-tools).\n",
+    "\n",
+    "See a [usage example](/docs/integrations/tools/exa_search).\n",
+    "\n",
+    "### ExaFindSimilarResults\n",
+    "\n",
+    "A tool that queries the Metaphor Search API and gets back JSON."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_exa.tools import ExaFindSimilarResults"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ExaSearchResults\n",
+    "\n",
+    "Exa Search tool."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_exa.tools import ExaSearchResults"
    ]
   }
  ],
@@ -69,9 +109,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }