{
 "cells": [
  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "230aae25",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'beir'",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mModuleNotFoundError\u001b[39m                       Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mbeir\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdatasets\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdata_loader\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m GenericDataLoader\n\u001b[32m      2\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mbeir\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mretrieval\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01msearch\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdense\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m DenseRetrievalExactSearch\n\u001b[32m      3\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mbeir\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mretrieval\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mevaluation\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m EvaluateRetrieval\n",
      "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'beir'"
     ]
    }
   ],
   "source": [
    "from beir.datasets.data_loader import GenericDataLoader\n",
    "from beir.retrieval.search.dense import DenseRetrievalExactSearch\n",
    "from beir.retrieval.evaluation import EvaluateRetrieval\n",
    "\n",
    "DATA_PATH = \"path/to/beir_dataset\"\n",
    "\n",
    "corpus, queries, qrels = GenericDataLoader(DATA_PATH).load(split=\"test\")\n",
    "\n",
    "model = BEIROllamaEmbeddings(\n",
    "    base_url=\"http://localhost:11434\",\n",
    "    model=\"nomic-embed-text\",\n",
    "    batch_size=64,\n",
    ")\n",
    "\n",
    "retriever = DenseRetrievalExactSearch(model, batch_size=64)\n",
    "evaluator = EvaluateRetrieval(retriever, score_function=\"cos_sim\")\n",
    "\n",
    "results = evaluator.retrieve(corpus, queries)\n",
    "ndcg, _map, recall, precision = evaluator.evaluate(\n",
    "    qrels, results, [1, 3, 5, 10, 100]\n",
    ")\n",
    "\n",
    "print(\"NDCG:\", ndcg)\n",
    "print(\"MAP:\", _map)\n",
    "print(\"Recall:\", recall)\n",
    "print(\"Precision:\", precision)"
   ]
  }
 ],
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