clean read me

01 LangChain Hello World/README.md

@@ -31,17 +31,7 @@ Follow these steps to set up and run the `ollama` server:
    python main.py
    ```
 
-## Script Explanation
-
-### Importing Libraries
-
-The script starts by importing the necessary libraries from the `langchain` ecosystem:
-
-```python
-from langchain_community.chat_models import ChatOllama
-from langchain_core.prompts import PromptTemplate
-from langchain_core.output_parsers import StrOutputParser
-```
+## Core Explanation
 
 ### Specifying the Local Language Model
 
@@ -86,23 +76,10 @@ llm_chain = prompt | llm | StrOutputParser()
 generation = llm_chain.invoke(formatted_prompt)
 ```
 
-### Printing the Output
-
-Print the generated output:
-
-```python
-print(generation)
-```
-
 ## Running the Script
 
 1. Ensure the `ollama` server is running as described in the [Setting Up the Ollama Server](#setting-up-the-ollama-server) section.
 2. Run the Python script in another terminal:
    ```sh
    python main.py
    ```
-
-## Notes
-
-- Ensure all dependencies are installed and the `ollama` server is running before executing the script.
-- Adjust the prompt template and input question as needed to suit your use case.

02 LangGraph Hello World/README.md

@@ -10,7 +10,6 @@ This tutorials is refer to [Learn LangGraph - The Easy Way](https://www.youtube.
 
 - Python 3.11
 - `langgraph` library
-- `ollama` server (if needed)
 
 ### Installing Dependencies
 
@@ -19,33 +18,11 @@ Install the necessary Python package:
 pip install langgraph
 ```
 
-### Setting Up the Ollama Server
-
-If your project requires the `ollama` server, follow these steps to set up and run it:
-
-1. Open a terminal and start the `ollama` server:
-   ```sh
-   ollama serve
-   ```
-
-2. Open another terminal and run the Python script:
-   ```sh
-   python main.py
-   ```
-
-## Script Explanation
-
-### Importing Libraries
-
-The script starts by importing the necessary library:
-
-```python
-from langgraph.graph import Graph
-```
+## Core Explanation
 
 ### Defining Functions
 
-Define two simple functions to be used in the workflow:
+Define two simple node to be used in the workflow:
 
 ```python
 def function_1(input_1):
@@ -98,15 +75,7 @@ print(output)
 
 ## Running the Script
 
-1. Ensure all dependencies are installed as described in the [Installing Dependencies](#installing-dependencies) section.
-2. If required, ensure the `ollama` server is running as described in the [Setting Up the Ollama Server](#setting-up-the-ollama-server) section.
-3. Run the Python script:
+Run the Python script:
    ```sh
    python main.py
-   ```
-
-## Notes
-
-- Ensure all dependencies are installed and the `ollama` server is running before executing the script (if needed).
-- Adjust the functions and workflow as needed to suit your use case.
-
+   ```

03 Graph Chain Hello World/README.md

@@ -0,0 +1,35 @@
+# 03 Graph Chain Hello World
+
+This project demonstrates the use of the `langgraph` and `langchain-community` libraries to create a workflow graph that interacts with a local language model to generate and process content.
+
+This tutorials is refer to [Learn LangGraph - The Easy Way](https://www.youtube.com/watch?v=R8KB-Zcynxc).
+
+## Core Explanation
+
+
+### Defining Functions
+
+Because we use json format, we can parse that 
+
+```python
+def Tool(input):
+    print("Tool Stage input:" + input)
+    # Parse the JSON input
+    data = json.loads(input)
+    # Extract the "content" and "filename" parts
+    content = data.get("content", "")
+    filename = data.get("filename", "output.md")
+    # Write the content to the specified filename
+    with open(filename, 'w') as file:
+        file.write(content)
+    return input
+```
+
+## Running the Script
+
+1. Ensure all dependencies are installed as described in the [Installing Dependencies](#installing-dependencies) section.
+2. If required, ensure the `ollama` server is running as described in the [Setting Up the Ollama Server](#setting-up-the-ollama-server) section.
+3. Run the Python script:
+   ```sh
+   python main.py
+   ```

04 State Graph/README.md

@@ -6,31 +6,10 @@ This tutorials is ref from
 * [Learn LangGraph - The Easy Way](https://www.youtube.com/watch?v=R8KB-Zcynxc).
 * [langgraph_code_assistant.ipynb](https://github.com/langchain-ai/langgraph/blob/main/examples/code_assistant/langgraph_code_assistant.ipynb)
 
-## Environment Setup
+## Core Explanation
 
-### Prerequisites
-
-- Python 3.11
-- `langgraph` library
-
-### Installing Dependencies
-
-Install the necessary Python package:
-```sh
-pip install langgraph
-```
-
-## Script Explanation
-
-### Importing Libraries
-
-The script starts by importing the necessary libraries:
-
-```python
-from langgraph.graph import StateGraph, END
-from typing import TypedDict, Literal, Union
-import random
-```
+* We need State as global state machine to store info like chat history
+* We need conditional edge to make the state machine able to swtich states
 
 ### Defining Node and Edge function