Upload docker.ipynb

docker.ipynb

@@ -0,0 +1,252 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "69050aa19c302b38e5698575eaa553bf137b0cd391c976a74c6767f6c46ced66\n"
+     ]
+    }
+   ],
+   "source": [
+    "!docker run -p \"6333:6333\" -p \"6334:6334\" --name \"rag-traversaal-qdrant\" --rm -d qdrant/qdrant:latest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CollectionsResponse(collections=[])"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import qdrant_client\n",
+    "\n",
+    "client = qdrant_client.QdrantClient(\"http://localhost:6333\", prefer_grpc=True)\n",
+    "client.get_collections()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(\"summ_texts.txt\", \"r\", encoding=\"utf-8\") as file:\n",
+    "    document = file.readlines()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       " 'c2fc4ebcfb7247e0bd168ddfb07e240e',\n",
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+       " 'd7c4580ed3f24013b7b2ff8009edeaa9',\n",
+       " 'd2b4eff37c8c4ce894842e16d8b13218',\n",
+       " '638a3bcd233048ec87ab51cf326f1638',\n",
+       " 'e18f89c58ff749d8a12430e7765dba60',\n",
+       " '4069ccc54643465c84fcf64a066d9cd6',\n",
+       " 'fcd55d6bd8df4ebf85f59ba52fef925a',\n",
+       " '47477dc9b2414f17998c9fc4e8ca24c8',\n",
+       " '1ce77e75f0b14618aa740159246f9921',\n",
+       " 'd9248d6b26e0439c8cb5ee0960a86512',\n",
+       " '1a8282698e7346e5a9a81f381e496b08']"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "client.add(\n",
+    "    collection_name=\"knowledge-base\",\n",
+    "    documents=document\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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",
+   "version": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}