diff --git a/docs/swarms/structs/majorityvoting.md b/docs/swarms/structs/majorityvoting.md
index 5e62ffef..26e6c10e 100644
--- a/docs/swarms/structs/majorityvoting.md
+++ b/docs/swarms/structs/majorityvoting.md
@@ -854,3 +854,66 @@ for i, result in enumerate(concurrent_results, 1):
     else:
         print(f"Result: {result}")
 ```
+### Example 4: Majorty Voting with Custom Streaming Features
+
+This example demonstrates streaming callback with a custom streaming function.
+
+```python
+from swarms import Agent
+from swarms.prompts.finance_agent_sys_prompt import (
+    FINANCIAL_AGENT_SYS_PROMPT,
+)
+from swarms.structs.majority_voting import MajorityVoting
+from dotenv import load_dotenv
+
+def streaming_callback(agent_name: str, chunk: str, is_final: bool):
+    # Chunk buffer static per call (reset each session)
+    if not hasattr(streaming_callback, "_buffer"):
+        streaming_callback._buffer = ""
+        streaming_callback._buffer_size = 0
+
+    min_chunk_size = 512  # or any large chunk size you want
+
+    if chunk:
+        streaming_callback._buffer += chunk
+        streaming_callback._buffer_size += len(chunk)
+    if streaming_callback._buffer_size >= min_chunk_size or is_final:
+        if streaming_callback._buffer:
+            print(streaming_callback._buffer, end="", flush=True)
+            streaming_callback._buffer = ""
+            streaming_callback._buffer_size = 0
+    if is_final:
+        print()
+
+load_dotenv()
+
+
+# Initialize the agent
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    agent_description="Personal finance advisor agent",
+    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
+    max_loops=1,
+    model_name="gpt-4.1",
+    dynamic_temperature_enabled=True,
+    user_name="swarms_corp",
+    retry_attempts=3,
+    context_length=8192,
+    return_step_meta=False,
+    output_type="str",  # "json", "dict", "csv" OR "string" "yaml" and
+    auto_generate_prompt=False,  # Auto generate prompt for the agent based on name, description, and system prompt, task
+    max_tokens=4000,  # max output tokens
+    saved_state_path="agent_00.json",
+    interactive=False,
+    streaming_on=True,  #if concurrent agents want to be streamed
+)
+
+swarm = MajorityVoting(agents=[agent, agent, agent])
+
+swarm.run(
+    "Create a table of super high growth opportunities for AI. I have $40k to invest in ETFs, index funds, and more. Please create a table in markdown.",
+    streaming_callback=streaming_callback,
+
+)
+
+```