diff --git a/11-Reranker/04-FlashRank-Reranker.ipynb b/11-Reranker/04-FlashRank-Reranker.ipynb
index 61cd90c19..6383a8ecd 100644
--- a/11-Reranker/04-FlashRank-Reranker.ipynb
+++ b/11-Reranker/04-FlashRank-Reranker.ipynb
@@ -16,9 +16,9 @@
     "\n",
     "## Overview\n",
     "\n",
-    "> [FlashRank](https://github.com/PrithivirajDamodaran/FlashRank) is an ultra-lightweight and ultra-fast Python library designed to add reranking to existing search and `retrieval` pipelines. It is based on state-of-the-art (`SoTA`) `cross-encoders`.\n",
+    "> [FlashRank](https://github.com/PrithivirajDamodaran/FlashRank) is an ultra-lightweight and ultra-fast Python library designed to add reranking to existing search and **retrieval** pipelines. It is based on state-of-the-art (**SoTA**) **cross-encoders**.\n",
     "\n",
-    "This notebook introduces the use of `FlashRank-Reranker` within the LangChain framework, showcasing how to apply reranking techniques to improve the quality of search or `retrieval` results. It provides practical code examples and explanations for integrating `FlashRank` into a LangChain pipeline, highlighting its efficiency and effectiveness. The focus is on leveraging `FlashRank`'s capabilities to enhance the ranking of outputs in a streamlined and scalable way.\n",
+    "This notebook introduces the use of `FlashRank-Reranker` within the LangChain framework, showcasing how to apply reranking techniques to improve the quality of search or **retrieval** results. It provides practical code examples and explanations for integrating `FlashRank` into a LangChain pipeline, highlighting its efficiency and effectiveness. The focus is on leveraging `FlashRank`'s capabilities to enhance the ranking of outputs in a streamlined and scalable way.\n",
     "\n",
     "### Table of Contents\n",
     "\n",
@@ -63,7 +63,7 @@
    "id": "7d83ee066d91fb4f",
    "metadata": {},
    "source": [
-    "You can alternatively set OPENAI_API_KEY in .env file and load it.\n",
+    "You can alternatively set OPENAI_API_KEY in `.env` file and load it.\n",
     "\n",
     "[Note] This is not necessary if you've already set OPENAI_API_KEY in previous steps."
    ]
@@ -137,7 +137,7 @@
    "source": [
     "## FlashrankRerank\n",
     "\n",
-    "Load data for a simple example and create a retriever."
+    "Load data for a simple example and create a **retriever**."
    ]
   },
   {
@@ -185,7 +185,7 @@
    "id": "ea07e244c9171d26",
    "metadata": {},
    "source": [
-    "Now, let's wrap the base `retriever` with a `ContextualCompressionRetriever` and use `FlashrankRerank` as the compressor."
+    "Now, let's wrap the base **retriever** with a `ContextualCompressionRetriever` and use `FlashrankRerank` as the compressor."
    ]
   },
   {
@@ -224,7 +224,7 @@
    "id": "4a147fc787860bac",
    "metadata": {},
    "source": [
-    "Compare the results after reanker is applied."
+    "Compare the results after reranker is applied."
    ]
   },
   {