diff --git a/docs/api-reference/pipeline/chat.mdx b/docs/api-reference/pipeline/chat.mdx
index a8fe32e6..b044777e 100644
--- a/docs/api-reference/pipeline/chat.mdx
+++ b/docs/api-reference/pipeline/chat.mdx
@@ -18,6 +18,9 @@ title: '💬 chat'
A dictionary of key-value pairs to filter the chunks from the vector database. Defaults to `None`
+
+ Session ID of the chat. This can be used to maintain chat history of different user sessions. Default value: `default`
+
Return citations along with the LLM answer. Defaults to `False`
@@ -107,3 +110,22 @@ answer = app.chat("What is the net worth of Elon?")
print(answer)
# Answer: The net worth of Elon Musk is $221.9 billion.
```
+
+### With session id
+
+If you want to maintain chat sessions for different users, you can simply pass the `session_id` keyword argument. See the example below:
+
+```python With session id
+from embedchain import App
+
+app = App()
+app.add("https://www.forbes.com/profile/elon-musk")
+
+# Chat on your data using `.chat()`
+app.chat("What is the net worth of Elon Musk?", session_id="user1")
+# 'The net worth of Elon Musk is $250.8 billion.'
+app.chat("What is the net worth of Bill Gates?", session_id="user2")
+# "I don't know the current net worth of Bill Gates."
+app.chat("What was my last question", session_id="user1")
+# 'Your last question was "What is the net worth of Elon Musk?"'
+```