diff --git "a/RAG/Implementing a Retrieval-Augmented Generation (RAG) System with OpenAI's\302\240API.ipynb" "b/RAG/Implementing a Retrieval-Augmented Generation (RAG) System with OpenAI's\302\240API.ipynb"
new file mode 100644
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+++ "b/RAG/Implementing a Retrieval-Augmented Generation (RAG) System with OpenAI's\302\240API.ipynb"	
@@ -0,0 +1,244 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "B0-NbtZiBIiv",
+        "outputId": "e0827070-b6f2-4802-8adc-99beb4eb1548"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Installing collected packages: langchain_experimental\n",
+            "Successfully installed langchain_experimental-0.0.57\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Module Installation\n",
+        "\n",
+        "!pip install langchain\n",
+        "!pip install openai\n",
+        "!pip install tiktoken\n",
+        "!pip install faiss-gpu\n",
+        "!pip install langchain_experimental"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "1s--mfl-BJ5A"
+      },
+      "outputs": [],
+      "source": [
+        "from langchain.chains import RetrievalQA\n",
+        "from langchain.chat_models import ChatOpenAI\n",
+        "from langchain.document_loaders import TextLoader\n",
+        "from langchain.text_splitter import CharacterTextSplitter\n",
+        "from langchain.embeddings import OpenAIEmbeddings, HuggingFaceInstructEmbeddings\n",
+        "from langchain.vectorstores import FAISS\n",
+        "from langchain.memory import ConversationBufferMemory\n",
+        "from langchain.chains import ConversationalRetrievalChain\n",
+        "from langchain.indexes import VectorstoreIndexCreator\n",
+        "import tiktoken"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "wb30MdMQBJ7p"
+      },
+      "outputs": [],
+      "source": [
+        "# OpenAI API key\n",
+        "api_key = \"YOUR_OPENAI_API_KEY\"            # Go on \"https://platform.openai.com/api-keys\" and get Your OPENAI_API_KEY"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Po02l81lBJ91"
+      },
+      "outputs": [],
+      "source": [
+        "llm_model = \"gpt-3.5-turbo\""
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7yn2CRrIUi4F"
+      },
+      "source": [
+        "## 📑 Data Reading"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "rtsMFbg_BP93"
+      },
+      "outputs": [],
+      "source": [
+        "txt_file_path = './Data/Science.txt'\n",
+        "loader = TextLoader(file_path=txt_file_path, encoding=\"utf-8\")\n",
+        "data = loader.load()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Dg51KX1UE0Gm"
+      },
+      "outputs": [],
+      "source": [
+        "data"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "1lO9sMIXUnqB"
+      },
+      "source": [
+        "## ✂️ Text Splitting"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "5-4zEH1BUoff"
+      },
+      "outputs": [],
+      "source": [
+        "from langchain.text_splitter import CharacterTextSplitter\n",
+        "\n",
+        "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n",
+        "data = text_splitter.split_documents(data)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "u-EQPRj_UwhF"
+      },
+      "outputs": [],
+      "source": [
+        "data"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "lGvRO4hPUxMH"
+      },
+      "outputs": [],
+      "source": [
+        "len(data)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ETlRyH-VU2ex"
+      },
+      "source": [
+        "## 👨‍💻 Embedding Convertion"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "vTA2cOJ0BKAF"
+      },
+      "outputs": [],
+      "source": [
+        "# Create vector store\n",
+        "embeddings = OpenAIEmbeddings(openai_api_key=api_key)\n",
+        "vectorstore = FAISS.from_documents(data, embedding=embeddings)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "rnwzE8FaU_al"
+      },
+      "source": [
+        "# 🔗 Create conversation chain"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "qZOmPg9pBxHP"
+      },
+      "outputs": [],
+      "source": [
+        "llm = ChatOpenAI(temperature=0.7, model_name=llm_model, openai_api_key=api_key)\n",
+        "memory = ConversationBufferMemory(\n",
+        "memory_key='chat_history', return_messages=True)\n",
+        "conversation_chain = ConversationalRetrievalChain.from_llm(\n",
+        "        llm=llm,\n",
+        "        chain_type=\"stuff\",\n",
+        "        retriever=vectorstore.as_retriever(),\n",
+        "        memory=memory\n",
+        "        )"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "T_il9FdyBy6r"
+      },
+      "outputs": [],
+      "source": [
+        "query = \"What is a Chemical Reactions and Equations ?\"\n",
+        "result = conversation_chain({\"question\": query})\n",
+        "answer = result[\"answer\"]\n",
+        "answer"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "5KO8JLf9EZ5Y"
+      },
+      "outputs": [],
+      "source": []
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "T4",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}