From db4ee7a9ff5edab588f11ac9f8496397509f044a Mon Sep 17 00:00:00 2001
From: Reid <61492567+reidliu41@users.noreply.github.com>
Date: Fri, 7 Mar 2025 06:03:52 +0800
Subject: [PATCH] docs: improve rag doc (#1411)

# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]

[//]: # (## Documentation)

Signed-off-by: reidliu <reid201711@gmail.com>
Co-authored-by: reidliu <reid201711@gmail.com>
---
 docs/source/building_applications/rag.md | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/docs/source/building_applications/rag.md b/docs/source/building_applications/rag.md
index acbc07ca4..3646936a8 100644
--- a/docs/source/building_applications/rag.md
+++ b/docs/source/building_applications/rag.md
@@ -20,6 +20,11 @@ We may add more storage types like Graph IO in the future.
 Here's how to set up a vector database for RAG:
 
 ```python
+# Create http client
+from llama_stack_client import LlamaStackClient
+
+client = LlamaStackClient(base_url=f"http://localhost:{os.environ['LLAMA_STACK_PORT']}")
+
 # Register a vector db
 vector_db_id = "my_documents"
 response = client.vector_dbs.register(
@@ -136,6 +141,14 @@ response = agent.create_turn(
 )
 ```
 
+You can print the response with below.
+```python
+from llama_stack_client.lib.agents.event_logger import EventLogger
+
+for log in EventLogger().log(response):
+    log.print()
+```
+
 ### Unregistering Vector DBs
 
 If you need to clean up and unregister vector databases, you can do so as follows: