[Docs] Add documentation about getting source along with the answer (#999)

docs/get-started/introduction.mdx

@@ -43,7 +43,44 @@ print(context)
 
 Embedchain empowers developers to ask questions and receive relevant answers through a user-friendly query API. Refer to the following example to learn how to utilize the query API:
 
-```python
+<CodeGroup>
+
+```python With Citations
+from embedchain import Pipeline as App
+
+# Initialize app
+app = App()
+
+# Add data source
+app.add("https://www.forbes.com/profile/elon-musk")
+
+# Get relevant answer for your query
+answer, sources = app.query("What is the net worth of Elon?", citations=True)
+print(answer)
+# Answer: The net worth of Elon Musk is $221.9 billion.
+
+print(sources)
+# [
+#    (
+#        'Elon Musk PROFILEElon MuskCEO, Tesla$247.1B$2.3B (0.96%)Real Time Net Worthas of 12/7/23 ...',
+#        'https://www.forbes.com/profile/elon-musk',
+#        '4651b266--4aa78839fe97'
+#    ),
+#    (
+#        '74% of the company, which is now called X.Wealth HistoryHOVER TO REVEAL NET WORTH BY YEARForbes ...',
+#        'https://www.forbes.com/profile/elon-musk',
+#        '4651b266--4aa78839fe97'
+#    ),
+#    (
+#        'founded in 2002, is worth nearly $150 billion after a $750 million tender offer in June 2023 ...',
+#        'https://www.forbes.com/profile/elon-musk',
+#        '4651b266--4aa78839fe97'
+#    )
+# ]
+```
+
+
+```python Without Citations
 from embedchain import Pipeline as App
 
 # Initialize app
@@ -58,11 +95,55 @@ print(answer)
 # Answer: The net worth of Elon Musk is $221.9 billion.
 ```
 
+</CodeGroup>
+
+When `citations=True`, note that the returned `sources` are a list of tuples where each tuple has three elements (in the following order):
+1. source chunk
+2. link of the source document
+3. document id (used for book keeping purposes)
+
+
 ## 💬 Chat
 
 Embedchain allows easy chatting over your data sources using a user-friendly chat API. Check out the example below to understand how to use the chat API:
 
-```python
+<CodeGroup>
+
+```python With Citations
+from embedchain import Pipeline as App
+
+# Initialize app
+app = App()
+
+# Add data source
+app.add("https://www.forbes.com/profile/elon-musk")
+
+# Get relevant answer for your query
+answer, sources = app.chat("What is the net worth of Elon?", citations=True)
+print(answer)
+# Answer: The net worth of Elon Musk is $221.9 billion.
+
+print(sources)
+# [
+#    (
+#        'Elon Musk PROFILEElon MuskCEO, Tesla$247.1B$2.3B (0.96%)Real Time Net Worthas of 12/7/23 ...',
+#        'https://www.forbes.com/profile/elon-musk',
+#        '4651b266--4aa78839fe97'
+#    ),
+#    (
+#        '74% of the company, which is now called X.Wealth HistoryHOVER TO REVEAL NET WORTH BY YEARForbes ...',
+#        'https://www.forbes.com/profile/elon-musk',
+#        '4651b266--4aa78839fe97'
+#    ),
+#    (
+#        'founded in 2002, is worth nearly $150 billion after a $750 million tender offer in June 2023 ...',
+#        'https://www.forbes.com/profile/elon-musk',
+#        '4651b266--4aa78839fe97'
+#    )
+# ]
+```
+
+```python Without Citations
 from embedchain import Pipeline as App
 
 # Initialize app
@@ -72,11 +153,18 @@ app = App()
 app.add("https://www.forbes.com/profile/elon-musk")
 
 # Chat on your data using `.chat()`
-answer = app.chat("How much did Elon pay for Twitter?")
+answer = app.chat("What is the net worth of Elon?")
 print(answer)
-# Answer: Elon Musk paid $44 billion for Twitter.
+# Answer: The net worth of Elon Musk is $221.9 billion.
 ```
 
+</CodeGroup>
+
+Similar to `query()` function, when `citations=True`, note that the returned `sources` are a list of tuples where each tuple has three elements (in the following order):
+1. source chunk
+2. link of the source document
+3. document id (used for book keeping purposes)
+
 ## 🚀 Deploy
 
 Embedchain enables developers to deploy their LLM-powered apps in production using the Embedchain platform. The platform offers free access to context on your data through its REST API. Once the pipeline is deployed, you can update your data sources anytime after deployment.