diff --git a/.env.sample b/.env.sample
new file mode 100644
index 0000000..a46ed08
--- /dev/null
+++ b/.env.sample
@@ -0,0 +1 @@
+OPENAI_API_KEY=sk-proj-yourapikey
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index ebe7e0f..c56419b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,8 @@
 
 *_venv/
 
+*.env
+
 *.sql
 *.sqlite
 *.db
\ No newline at end of file
diff --git a/LangChain/ChatWithDB/.env.sample b/LangChain/ChatWithDB/.env.sample
new file mode 100644
index 0000000..a46ed08
--- /dev/null
+++ b/LangChain/ChatWithDB/.env.sample
@@ -0,0 +1 @@
+OPENAI_API_KEY=sk-proj-yourapikey
\ No newline at end of file
diff --git a/LangChain/ChatWithDB/readme.md b/LangChain/ChatWithDB/readme.md
index fee1477..e1efeb9 100644
--- a/LangChain/ChatWithDB/readme.md
+++ b/LangChain/ChatWithDB/readme.md
@@ -9,6 +9,8 @@ Follow any of [these Python environment setup](https://jalcocert.github.io/JAlco
 
 For the `ipynb` vscode will ak you for the `ipykernel` module.
 
+Then you will be asked to **select the Python env**.
+
 You will need : https://platform.openai.com/api-keys
 
 <details>
@@ -16,10 +18,32 @@ You will need : https://platform.openai.com/api-keys
   &nbsp;
 
 
+
 ```sh
-pip install langchain
+python3 -m venv datachat_venv #create the venv Linux
+#python -m venv datachat_venv #create the venv W
+
+#datachat_venv\Scripts\activate #activate venv (windows)
+source datachat_venv/bin/activate #(linux)
+```
+
+Set **API credentials**:
+
+```sh
+export OPENAI_API_KEY=YOUR_API_KEY
+$env:OPENAI_API_KEY="YOUR_API_KEY"
+set OPENAI_API_KEY=YOUR_API_KEY
+```
+
+Install the libraries one by one...
+
+```sh
+pip install langchain==0.1.7 mysql-connector-python 
 ```
 
+
+Or with `requirements.txt`:
+
 ```sh
 #sudo apt install python3.12-venv
 python3 -m venv langchainChatDB_venv
@@ -29,15 +53,16 @@ python3 -m venv langchainChatDB_venv
 source langchainChatDB_venv/bin/activate
 #.\langchainChatDB_venv\Scripts\activate #Windows
 
-pip install -r requirements.txt
-
-
 source .env
 #export OPENAI_API_KEY="your-api-key-here"
 #set OPENAI_API_KEY=your-api-key-here
 #$env:OPENAI_API_KEY="your-api-key-here"
 echo $OPENAI_API_KEY
 
+cd ./LangChain/ChatWithDB
+pip install -r requirements.txt
+
+
 streamlit run langchain_chat_db.py
 
 # git add .
diff --git a/LangChain/ChatWithDB/requirements.txt b/LangChain/ChatWithDB/requirements.txt
index e7f08b2..3f953e7 100644
--- a/LangChain/ChatWithDB/requirements.txt
+++ b/LangChain/ChatWithDB/requirements.txt
@@ -1 +1,14 @@
-langchain
\ No newline at end of file
+langchain
+
+openai==1.56.0 #1.52.2 #https://pypi.org/project/openai/
+python-dotenv==1.0.1
+
+langchain #==0.1.7
+langchain-community #==0.0.20
+langchain-core #==0.1.23
+langchain-openai #==0.0.6
+
+mysql-connector-python==8.3.0
+
+#pip install -r requirements.txt
+#pip freeze | grep langchain
\ No newline at end of file
diff --git a/LangChain/ChatWithDB/test_langchainChatDB.ipynb b/LangChain/ChatWithDB/test_langchainChatDB.ipynb
index fc3f273..da2bcbe 100644
--- a/LangChain/ChatWithDB/test_langchainChatDB.ipynb
+++ b/LangChain/ChatWithDB/test_langchainChatDB.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -11,7 +11,7 @@
        "2"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -57,6 +57,13 @@
     "print(sys.version_info)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## DB Setup"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -119,6 +126,13 @@
     "# SHOW FULL TABLES;"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can render the mermaid **diagram of a DB Schema** as per [this post](https://jalcocert.github.io/JAlcocerT/how-to-chat-with-your-data/#chat-with-a-db-with-langchain)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -147,11 +161,212 @@
     "# ORDER BY \n",
     "#     TABLE_NAME, ORDINAL_POSITION;\n"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Python BackEnd Setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#source .env\n",
+    "\n",
+    "#export OPENAI_API_KEY=\"your-api-key-here\"\n",
+    "#set OPENAI_API_KEY=your-api-key-here\n",
+    "#$env:OPENAI_API_KEY=\"your-api-key-here\"\n",
+    "\n",
+    "#echo $OPENAI_API_KEY"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from openai import OpenAI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load environment variables from the .env file\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Get the OpenAI API key from the environment variables\n",
+    "api_key = os.getenv(\"OPENAI_API_KEY\")\n",
+    "#print(api_key)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#pip install langchain==0.1.7"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_core.prompts import ChatPromptTemplate\n",
+    "\n",
+    "template = \"\"\"Based on the table schema below, write a SQL query that would answer the user's question:\n",
+    "{schema}\n",
+    "\n",
+    "Question: {question}\n",
+    "SQL Query:\"\"\"\n",
+    "prompt = ChatPromptTemplate.from_template(template)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"Human: Based on the table schema below, write a SQL query that would answer the user's question:\\nmy schema\\n\\nQuestion: how many users are there?\\nSQL Query:\""
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "prompt.format(schema=\"my schema\", question=\"how many users are there?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#pip install mysql-connector-python==8.3.0\n",
+    "#pip freeze | grep sql"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#sudo systemctl status mysql\n",
+    "#sudo mysql -u root -padmin\n",
+    "\n",
+    "#SHOW DATABASES;\n",
+    "#SHOW VARIABLES LIKE 'port';\n",
+    "#SHOW VARIABLES LIKE 'socket';"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#sudo ss -tuln | grep 127.0.0.1\n",
+    "#sudo ss -tuln | grep 3306\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Update the **root user’s authentication method** to use the `mysql_native_password` plugin (which allows password-based login):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#sudo mysql -u root\n",
+    "#USE mysql;\n",
+    "#ALTER USER 'root'@'localhost' IDENTIFIED WITH mysql_native_password BY 'your_password';\n",
+    "#FLUSH PRIVILEGES;\n",
+    "#EXIT\n",
+    "\n",
+    "#mysql -u root -p\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain_community.utilities import SQLDatabase\n",
+    "\n",
+    "# if you are using SQLite\n",
+    "#sqlite_uri = 'sqlite:///./Chinook.db' \n",
+    "\n",
+    "# if you are using MySQL\n",
+    "#mysql_uri = 'mysql+mysqlconnector://root:colerany$iM92@localhost:3306/test_db'\n",
+    "mysql_uri = 'mysql+mysqlconnector://root:your_password@localhost:3306/Chinook' #PASS WAS SETUP JUST ABOVE\n",
+    "\n",
+    "#db = SQLDatabase.from_uri(sqlite_uri)\n",
+    "db = SQLDatabase.from_uri(mysql_uri)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can **QUERY THE DB FROM PYTHON**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"[(1, 'For Those About To Rock We Salute You', 1), (2, 'Balls to the Wall', 2), (3, 'Restless and Wild', 2), (4, 'Let There Be Rock', 1), (5, 'Big Ones', 3)]\""
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "db.run(\"Select * FROM Album LIMIT 5\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "datachat_venv",
+   "display_name": "langchainChatDB_venv",
    "language": "python",
    "name": "python3"
   },