Add back UpStash demo nb (#10596)

* bring back upstash demo nb

* bring back upstash demo nb

* add quiet flag and remove output of pip install

docs/examples/vector_stores/UpstashVectorDemo.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Upstash Vector Store\n",
+    "\n",
+    "We're going to look at how to use LlamaIndex to interface with Upstash Vector!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! pip install -q llama-index upstash-vector"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from llama_index.core import VectorStoreIndex, SimpleDirectoryReader\n",
+    "from llama_index.core.vector_stores import UpstashVectorStore\n",
+    "from llama_index.core import StorageContext\n",
+    "import textwrap\n",
+    "import openai"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Setup the OpenAI API\n",
+    "openai.api_key = \"sk-...\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2024-02-03 20:04:25--  https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt\n",
+      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
+      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 75042 (73K) [text/plain]\n",
+      "Saving to: ‘data/paul_graham/paul_graham_essay.txt’\n",
+      "\n",
+      "data/paul_graham/pa 100%[===================>]  73.28K  --.-KB/s    in 0.01s   \n",
+      "\n",
+      "2024-02-03 20:04:25 (5.96 MB/s) - ‘data/paul_graham/paul_graham_essay.txt’ saved [75042/75042]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Download data\n",
+    "! mkdir -p 'data/paul_graham/'\n",
+    "! wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, we can load the documents using the LlamaIndex SimpleDirectoryReader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "# Documents: 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "documents = SimpleDirectoryReader(\"./data/paul_graham/\").load_data()\n",
+    "\n",
+    "print(\"# Documents:\", len(documents))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To create an index on Upstash, visit https://console.upstash.com/vector, create an index with 1536 dimensions and `Cosine` distance metric. Copy the URL and token below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vector_store = UpstashVectorStore(url=\"https://...\", token=\"...\")\n",
+    "\n",
+    "storage_context = StorageContext.from_defaults(vector_store=vector_store)\n",
+    "index = VectorStoreIndex.from_documents(\n",
+    "    documents, storage_context=storage_context\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we've successfully created an index and populated it with vectors from the essay! The data will take a second to index and then it'll be ready for querying."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The author learned that the study of philosophy in college did not live up to their expectations.\n",
+      "They found that other fields took up most of the space of ideas, leaving little room for what they\n",
+      "perceived as the ultimate truths that philosophy was supposed to explore. As a result, they decided\n",
+      "to switch to studying AI.\n",
+      "\n",
+      "\n",
+      "The author's opinion on startups is that they are in need of help and support, especially in the\n",
+      "beginning stages. The author believes that founders of startups are often helpless and face various\n",
+      "challenges, such as getting incorporated and understanding the intricacies of running a company. The\n",
+      "author's investment firm, Y Combinator, aims to provide seed funding and comprehensive support to\n",
+      "startups, offering them the guidance and resources they need to succeed.\n"
+     ]
+    }
+   ],
+   "source": [
+    "query_engine = index.as_query_engine()\n",
+    "res1 = query_engine.query(\"What did the author learn?\")\n",
+    "print(textwrap.fill(str(res1), 100))\n",
+    "\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "res2 = query_engine.query(\"What is the author's opinion on startups?\")\n",
+    "print(textwrap.fill(str(res2), 100))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}