ReltiveScoreFusion

forum-1502-relativeScoreFusion.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import weaviate\n",
    "client = weaviate.connect_to_local()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from weaviate import classes as wvc\n",
    "\n",
    "client.collections.delete(\"Hybrid\")\n",
    "col = client.collections.create(\n",
    "    name=\"Hybrid\",\n",
    "    vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(),\n",
    "    properties=[\n",
    "            wvc.config.Property(\n",
    "                name=\"text\",\n",
    "                data_type=wvc.config.DataType.TEXT,\n",
    "                description=\"The text\",\n",
    "            ),\n",
    "        ],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UUID('ca7a66fa-1182-40c4-95c9-f280653a7c1e')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lets add object\n",
    "col.data.insert({'text': 'Some text about soccer'})\n",
    "col.data.insert({'text': 'Some text about Pelé'})\n",
    "col.data.insert({'text': 'Some text about Goalkeeper'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'text': 'Some text about soccer'}\n",
      "{'text': 'Some text about Goalkeeper'}\n",
      "{'text': 'Some text about Pelé'}\n"
     ]
    }
   ],
   "source": [
    "from weaviate import classes as wvc\n",
    "col = client.collections.get(\"Hybrid\")\n",
    "q = col.query.hybrid(\n",
    "    query=\"soccer\",\n",
    "    fusion_type=wvc.query.HybridFusion.RELATIVE_SCORE,\n",
    "    alpha=0.5\n",
    ")\n",
    "for r in q.objects:\n",
    "    print(r.properties)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/lib/python3.11/site-packages/weaviate/warnings.py:158: DeprecationWarning: Dep016: You are using the Weaviate v3 client, which is deprecated.\n",
      "            Consider upgrading to the new and improved v4 client instead!\n",
      "            See here for usage: https://weaviate.io/developers/weaviate/client-libraries/python\n",
      "            \n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# testing with client 3\n",
    "client3 = weaviate.Client(\"http://localhost:8080\")\n",
    "client3.is_ready()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "#getting a vector\n",
    "# Now lets add the vectors ourself\n",
    "import os\n",
    "import requests\n",
    "\n",
    "headers = {\n",
    "    'Content-Type': 'application/json',\n",
    "    'Authorization': 'Bearer ' + os.getenv('OPENAI_API_KEY', ''),\n",
    "}\n",
    "\n",
    "json_data = {\n",
    "    'input': 'Take the ball with hands',\n",
    "    'model': 'text-embedding-ada-002',\n",
    "}\n",
    "\n",
    "response = requests.post('https://api.openai.com/v1/embeddings', headers=headers, json=json_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "vector = response.json()[\"data\"][0][\"embedding\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': {'Get': {'Hybrid': [{'text': 'Some text about soccer'},\n",
       "    {'text': 'Some text about Goalkeeper'},\n",
       "    {'text': 'Some text about Pelé'}]}}}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from weaviate.gql.get import HybridFusion\n",
    "client3.query.get(\"Hybrid\", \"text\").with_hybrid(query=\"soccer\", alpha=0.5, vector=vector, fusion_type=HybridFusion.RELATIVE_SCORE).do()"
   ]
  }
 ],
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