Update notebook

examples/67_Whats_new_in_txtai_8_0.ipynb

@@ -15,6 +15,8 @@
     "Agents automatically create workflows to answer multi-faceted user requests. Agents iteratively prompt and/or interface with tools to\n",
     "step through a process and ultimately come to an answer for a request.\n",
     "\n",
+    "This release also adds support for Model2Vec vectorization.\n",
+    "\n",
     "**Standard upgrade disclaimer below**\n",
     "\n",
     "While everything is backwards compatible, it's prudent to backup production indexes before upgrading and test before deploying."
@@ -40,7 +42,7 @@
    "outputs": [],
    "source": [
     "%%capture\n",
-    "!pip install git+https://github.com/neuml/txtai autoawq"
+    "!pip install git+https://github.com/neuml/txtai autoawq model2vec"
    ]
   },
   {
@@ -462,6 +464,54 @@
     "💥 Look at that! A full API service from a simple configuration file. "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Vectorization with Model2Vec\n",
+    "\n",
+    "While the agent framework is the headline change, there is another major update - support for Model2Vec models. \n",
+    "\n",
+    "[Model2Vec](https://github.com/MinishLab/model2vec) is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"Canada's last fully intact ice shelf has suddenly collapsed, forming a Manhattan-sized iceberg\""
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from txtai import Embeddings\n",
+    "\n",
+    "# Data to index\n",
+    "data = [\n",
+    "  \"US tops 5 million confirmed virus cases\",\n",
+    "  \"Canada's last fully intact ice shelf has suddenly collapsed, forming a Manhattan-sized iceberg\",\n",
+    "  \"Beijing mobilises invasion craft along coast as Taiwan tensions escalate\",\n",
+    "  \"The National Park Service warns against sacrificing slower friends in a bear attack\",\n",
+    "  \"Maine man wins $1M from $25 lottery ticket\",\n",
+    "  \"Make huge profits without work, earn up to $100,000 a day\"\n",
+    "]\n",
+    "\n",
+    "# Create an embeddings\n",
+    "embeddings = Embeddings(method=\"model2vec\", path=\"minishlab/M2V_base_output\")\n",
+    "embeddings.index(data)\n",
+    "\n",
+    "uid = embeddings.search(\"climate change\")[0][0]\n",
+    "data[uid]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {