diff --git a/ai_agent_tutorials/ai_blog_search/README.md b/ai_agent_tutorials/ai_blog_search/README.md
index 8a6dcb5..abf2d34 100644
--- a/ai_agent_tutorials/ai_blog_search/README.md
+++ b/ai_agent_tutorials/ai_blog_search/README.md
@@ -23,7 +23,7 @@ https://github.com/user-attachments/assets/cee07380-d3dc-45f4-ad26-7d944ba9c32b
 - **Database**: [Qdrant](https://qdrant.tech/)
 - **Models**:
   - Embeddings: [Google Gemini API (embedding-001)](https://ai.google.dev/gemini-api/docs/embeddings)
-  - Chat: [Google Gemini API (gemini-1.5-pro)](https://ai.google.dev/gemini-api/docs/models/gemini#gemini-1.5-pro)
+  - Chat: [Google Gemini API (gemini-2.0-flash)](https://ai.google.dev/gemini-api/docs/models/gemini#gemini-2.0-flash)
 - **Blogs Loader**: [Langchain WebBaseLoader](https://python.langchain.com/docs/integrations/document_loaders/web_base/)
 - **Document Splitter**: [RecursiveCharacterTextSplitter](https://python.langchain.com/v0.1/docs/modules/data_connection/document_transformers/recursive_text_splitter/)
 - **User Interface (UI)**: [Streamlit](https://docs.streamlit.io/)
diff --git a/ai_agent_tutorials/ai_blog_search/app.py b/ai_agent_tutorials/ai_blog_search/app.py
index 1bbc925..36006a4 100644
--- a/ai_agent_tutorials/ai_blog_search/app.py
+++ b/ai_agent_tutorials/ai_blog_search/app.py
@@ -111,7 +111,7 @@ def grade_documents(state) -> Literal["generate", "rewrite"]:
         binary_score: str = Field(description="Relevance score 'yes' or 'no'")
 
     # LLM
-    model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, temperature=0, model="gemini-1.5-pro", streaming=True)
+    model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, temperature=0, model="gemini-2.0-flash", streaming=True)
 
     # LLM with tool and validation
     llm_with_tool = model.with_structured_output(grade)
@@ -163,7 +163,7 @@ def agent(state, tools):
     """
     print("---CALL AGENT---")
     messages = state["messages"]
-    model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, temperature=0, streaming=True, model="gemini-1.5-pro")
+    model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, temperature=0, streaming=True, model="gemini-2.0-flash")
     model = model.bind_tools(tools)
     response = model.invoke(messages)
     
@@ -199,7 +199,7 @@ def rewrite(state):
     ]
 
     # Grader
-    model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, temperature=0, model="gemini-1.5-pro", streaming=True)
+    model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, temperature=0, model="gemini-2.0-flash", streaming=True)
     response = model.invoke(msg)
     return {"messages": [response]}
 
@@ -225,7 +225,7 @@ def generate(state):
     prompt_template = hub.pull("rlm/rag-prompt")
 
     # Initialize a Generator (i.e. Chat Model)
-    chat_model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, model="gemini-1.5-pro", temperature=0, streaming=True)
+    chat_model = ChatGoogleGenerativeAI(api_key=st.session_state.gemini_api_key, model="gemini-2.0-flash", temperature=0, streaming=True)
 
     # Initialize a Output Parser
     output_parser = StrOutputParser()