notebook updated

Author: efenocchi

notebook.ipynb

@@ -1842,7 +1842,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this final stage, the system uses an end-to-end neural search approach with a focus on the MaxSim module to enhance multi-modal retrieval. MaxSim enables the system to perform advanced similarity matching across diverse data types, such as text and images. This ensures that the most contextually relevant results are retrieved, making MaxSim highly effective for applications requiring nuanced understanding, such as scientific and medical queries."
+    "In this final stage, the system uses an **end-to-end neural search**  approach with a focus on the **MaxSim**  operator, as implemented in ColPali, to improve multi-modal retrieval. MaxSim allows the system to compare different types of data, like text and images, and find the most relevant matches. This helps retrieve results that are contextually accurate and meaningful, making it especially useful for complex applications, like scientific and medical research, where a deep understanding of the content is essential."
    ]
   },
   {