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{
"cells": [
{
"cell_type": "markdown",
"id": "bf597549",
"metadata": {},
"source": [
"PRIMERO PREPARAMOS TODAS NUESTRAS FUNCIONES PARA PODER SER CONVOCADAS LUEGO."
]
},
{
"cell_type": "markdown",
"id": "7968949c",
"metadata": {},
"source": [
"Instalamos "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "9a192af6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting qdrant-client\n",
" Obtaining dependency information for qdrant-client from https://files.pythonhosted.org/packages/e4/52/f49b0aa96253010f57cf80315edecec4f469e7a39c1ed92bf727fa290e57/qdrant_client-1.14.2-py3-none-any.whl.metadata\n",
" Downloading qdrant_client-1.14.2-py3-none-any.whl.metadata (10 kB)\n",
"Requirement already satisfied: transformers in c:\\users\\adm\\documents\\rag_milvus\\.venv\\lib\\site-packages (4.51.3)\n",
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"Requirement already satisfied: langchain in c:\\users\\adm\\documents\\rag_milvus\\.venv\\lib\\site-packages (0.3.24)\n",
"Collecting pymupdf\n",
" Obtaining dependency information for pymupdf from https://files.pythonhosted.org/packages/71/c2/a9059607f80dcaf2392f991748cfc53456820392c0220cff02572653512a/pymupdf-1.25.5-cp39-abi3-win_amd64.whl.metadata\n",
" Downloading pymupdf-1.25.5-cp39-abi3-win_amd64.whl.metadata (3.4 kB)\n",
"Collecting grpcio>=1.41.0 (from qdrant-client)\n",
" Obtaining dependency information for grpcio>=1.41.0 from https://files.pythonhosted.org/packages/ee/3f/cf92e7e62ccb8dbdf977499547dfc27133124d6467d3a7d23775bcecb0f9/grpcio-1.71.0-cp311-cp311-win_amd64.whl.metadata\n",
" Using cached grpcio-1.71.0-cp311-cp311-win_amd64.whl.metadata (4.0 kB)\n",
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"Requirement already satisfied: numpy>=1.21 in c:\\users\\adm\\documents\\rag_milvus\\.venv\\lib\\site-packages (from qdrant-client) (2.2.5)\n",
"Collecting portalocker<3.0.0,>=2.7.0 (from qdrant-client)\n",
" Obtaining dependency information for portalocker<3.0.0,>=2.7.0 from https://files.pythonhosted.org/packages/9b/fb/a70a4214956182e0d7a9099ab17d50bfcba1056188e9b14f35b9e2b62a0d/portalocker-2.10.1-py3-none-any.whl.metadata\n",
" Using cached portalocker-2.10.1-py3-none-any.whl.metadata (8.5 kB)\n",
"Collecting protobuf>=3.20.0 (from qdrant-client)\n",
" Obtaining dependency information for protobuf>=3.20.0 from https://files.pythonhosted.org/packages/97/e9/7b9f1b259d509aef2b833c29a1f3c39185e2bf21c9c1be1cd11c22cb2149/protobuf-6.30.2-cp310-abi3-win_amd64.whl.metadata\n",
" Downloading protobuf-6.30.2-cp310-abi3-win_amd64.whl.metadata (593 bytes)\n",
"Requirement already satisfied: pydantic!=2.0.*,!=2.1.*,!=2.2.0,>=1.10.8 in c:\\users\\adm\\documents\\rag_milvus\\.venv\\lib\\site-packages (from qdrant-client) (2.11.4)\n",
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" Obtaining dependency information for h2<5,>=3 from https://files.pythonhosted.org/packages/d0/9e/984486f2d0a0bd2b024bf4bc1c62688fcafa9e61991f041fb0e2def4a982/h2-4.2.0-py3-none-any.whl.metadata\n",
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" Obtaining dependency information for hyperframe<7,>=6.1 from https://files.pythonhosted.org/packages/48/30/47d0bf6072f7252e6521f3447ccfa40b421b6824517f82854703d0f5a98b/hyperframe-6.1.0-py3-none-any.whl.metadata\n",
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" Obtaining dependency information for hpack<5,>=4.1 from https://files.pythonhosted.org/packages/07/c6/80c95b1b2b94682a72cbdbfb85b81ae2daffa4291fbfa1b1464502ede10d/hpack-4.1.0-py3-none-any.whl.metadata\n",
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"Installing collected packages: pymupdf, protobuf, portalocker, hyperframe, hpack, grpcio, h2, qdrant-client\n",
"Successfully installed grpcio-1.71.0 h2-4.2.0 hpack-4.1.0 hyperframe-6.1.0 portalocker-2.10.1 protobuf-6.30.2 pymupdf-1.25.5 qdrant-client-1.14.2\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"[notice] A new release of pip is available: 23.2.1 -> 25.1\n",
"[notice] To update, run: python.exe -m pip install --upgrade pip\n"
]
}
],
"source": [
"%pip install qdrant-client transformers torch langchain pymupdf"
]
},
{
"cell_type": "markdown",
"id": "a4833977",
"metadata": {},
"source": [
"Importamos librerias"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "1684b4de",
"metadata": {},
"outputs": [],
"source": [
"from sentence_transformers import SentenceTransformer\n",
"from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
"from langchain.schema import Document\n",
"from qdrant_client import QdrantClient\n",
"from qdrant_client.models import PointStruct, Distance, VectorParams\n",
"import fitz # PyMuPDF"
]
},
{
"cell_type": "markdown",
"id": "e612e674",
"metadata": {},
"source": [
"Definimos funciones\n",
"1) Cargar los pdf por sus bloques de paginas"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "5a594ed8",
"metadata": {},
"outputs": [],
"source": [
"def pdfachunk(path, chunk_size_pages=20):\n",
" doc = fitz.open(path)\n",
" chunks = []\n",
" for i in range(0, len(doc), chunk_size_pages):\n",
" text = \"\"\n",
" for page_num in range(i, min(i + chunk_size_pages, len(doc))):\n",
" text += doc[page_num].get_text()\n",
" chunks.append(text)\n",
" doc.close()\n",
" return chunks"
]
},
{
"cell_type": "markdown",
"id": "59d048b7",
"metadata": {},
"source": [
"2) Dividir texto en chunks más pequeños con solapamiento"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "bffac6eb",
"metadata": {},
"outputs": [],
"source": [
"def split_chunks(raw_chunks, chunk_size=1024, chunk_overlap=100):\n",
" docs = [Document(page_content=chunk) for chunk in raw_chunks]\n",
" splitter = RecursiveCharacterTextSplitter(\n",
" chunk_size=chunk_size,\n",
" chunk_overlap=chunk_overlap,\n",
" separators=[\"\\n\\n\", \"\\n\", \".\", \" \"]\n",
" )\n",
" return splitter.split_documents(docs)"
]
},
{
"cell_type": "markdown",
"id": "8664bf6f",
"metadata": {},
"source": [
"3) Generar embeddings en batch"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "35a4df0b",
"metadata": {},
"outputs": [],
"source": [
"def generaremben(model, texts):\n",
" texts = [t for t in texts if t.strip()] # filtra vacíos\n",
" if not texts:\n",
" raise ValueError(\"No hay textos válidos para generar embeddings.\")\n",
" return model.encode(texts, batch_size=16, show_progress_bar=True)\n"
]
},
{
"cell_type": "markdown",
"id": "c28a5724",
"metadata": {},
"source": [
"4) Insertar los docemtos en QDRANT localemente"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "3c61ddca",
"metadata": {},
"outputs": [],
"source": [
"def insertarenqdra(embeddings, texts, collection_name=\"pdf_chunks\"):\n",
" client = QdrantClient(path=\"./qdrant_data\") # persistente\n",
"\n",
" dim = len(embeddings[0])\n",
" client.recreate_collection(\n",
" collection_name=collection_name,\n",
" vectors_config=VectorParams(size=dim, distance=Distance.COSINE)\n",
" )\n",
"\n",
" points = [\n",
" PointStruct(id=i, vector=embeddings[i].tolist(), payload={\"text\": texts[i]})\n",
" for i in range(len(embeddings))\n",
" ]\n",
"\n",
" client.upsert(collection_name=collection_name, points=points)\n",
" print(f\"✅ Insertados {len(points)} vectores en Qdrant.\")"
]
},
{
"cell_type": "markdown",
"id": "566e06c8",
"metadata": {},
"source": [
"5) Funcion modelo para no cargarlo siempre"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "eec86477",
"metadata": {},
"outputs": [],
"source": [
"def load_nv_model():\n",
" return AutoModel.from_pretrained(\"nvidia/NV-Embed-v2\", trust_remote_code=True)"
]
},
{
"cell_type": "markdown",
"id": "08510d36",
"metadata": {},
"source": [
"Probamos"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "2735d1a1",
"metadata": {},
"outputs": [],
"source": [
"pdf_path=\"./DOCS/Decreto-Supremo-N_-018-2019-JUS.pdf\" "
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "6ede8122",
"metadata": {},
"outputs": [],
"source": [
"pdf_chunks = pdfachunk(pdf_path)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "8f33af13",
"metadata": {},
"outputs": [],
"source": [
"split_docs = split_chunks(pdf_chunks)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "b0fb3761",
"metadata": {},
"outputs": [],
"source": [
"texts = [doc.page_content for doc in split_docs]"
]
},
{
"cell_type": "markdown",
"id": "85f2ee3f",
"metadata": {},
"source": [
"Definimos nuestro modelo de embbending"
]
},
{
"cell_type": "markdown",
"id": "5eb18c36",
"metadata": {},
"source": [
"NECESITAMOS DATASETS Y EINOPS"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "74262eaa",
"metadata": {},
"outputs": [],
"source": [
"%pip install datasets einops"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "93bbbcde",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`\n"
]
}
],
"source": [
"model = SentenceTransformer(\"all-MiniLM-L6-v2\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "f9f4d5bd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'transformers_modules.nvidia.NV-Embed-v2.c50d55f43bde7e6a18e0eaa15a62fd63a930f1a1.modeling_nvembed.NVEmbedModel'>\n"
]
}
],
"source": [
"print(type(model))"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "e594d6af",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Batches: 100%|██████████| 12/12 [00:03<00:00, 3.29it/s]\n"
]
}
],
"source": [
"embeddings = generaremben(model, texts)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "beba3991",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\adm\\AppData\\Local\\Temp\\ipykernel_26272\\752761030.py:5: DeprecationWarning: `recreate_collection` method is deprecated and will be removed in the future. Use `collection_exists` to check collection existence and `create_collection` instead.\n",
" client.recreate_collection(\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Insertados 181 vectores en Qdrant.\n"
]
}
],
"source": [
"insertarenqdra(embeddings, texts, collection_name=\"jus_decreto_018\")"
]
},
{
"cell_type": "markdown",
"id": "2c241dc6",
"metadata": {},
"source": [
"Funcion para consultar con qdrant"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "86beaf73",
"metadata": {},
"outputs": [],
"source": [
"from qdrant_client import QdrantClient\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b81de586",
"metadata": {},
"outputs": [],
"source": [
"def query_qdrant(query, model, collection_name, top_k=5):\n",
" # Generar embedding de la consulta\n",
" query_embedding = model.encode([query])[0]\n",
" \n",
" # Conexión al cliente Qdrant\n",
" client = QdrantClient(path=\"./qdrant_data\")\n",
"\n",
" # Realizar búsqueda en la colección\n",
" results = client.search(\n",
" collection_name=collection_name,\n",
" query_vector=query_embedding.tolist(),\n",
" limit=top_k, # Limitar a los primeros K resultados más similares\n",
" with_payload=True # Incluir el texto en los resultados\n",
" )\n",
"\n",
" return results"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "9d448736",
"metadata": {},
"outputs": [
{
"ename": "RuntimeError",
"evalue": "Storage folder ./qdrant_data is already accessed by another instance of Qdrant client. If you require concurrent access, use Qdrant server instead.",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31merror\u001b[39m Traceback (most recent call last)",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\adm\\Documents\\rag_MILVUS\\.venv\\Lib\\site-packages\\portalocker\\portalocker.py:49\u001b[39m, in \u001b[36mlock\u001b[39m\u001b[34m(file_, flags)\u001b[39m\n\u001b[32m 48\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m---> \u001b[39m\u001b[32m49\u001b[39m \u001b[43mwin32file\u001b[49m\u001b[43m.\u001b[49m\u001b[43mLockFileEx\u001b[49m\u001b[43m(\u001b[49m\u001b[43mos_fh\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m-\u001b[49m\u001b[32;43m0x10000\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m__overlapped\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 50\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m pywintypes.error \u001b[38;5;28;01mas\u001b[39;00m exc_value:\n\u001b[32m 51\u001b[39m \u001b[38;5;66;03m# error: (33, 'LockFileEx', 'The process cannot access the file\u001b[39;00m\n\u001b[32m 52\u001b[39m \u001b[38;5;66;03m# because another process has locked a portion of the file.')\u001b[39;00m\n",
"\u001b[31merror\u001b[39m: (33, 'LockFileEx', 'El proceso no tiene acceso al archivo porque otro proceso tiene bloqueada una parte del archivo.')",
"\nThe above exception was the direct cause of the following exception:\n",
"\u001b[31mAlreadyLocked\u001b[39m Traceback (most recent call last)",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\adm\\Documents\\rag_MILVUS\\.venv\\Lib\\site-packages\\qdrant_client\\local\\qdrant_local.py:133\u001b[39m, in \u001b[36mQdrantLocal._load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 132\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m133\u001b[39m \u001b[43mportalocker\u001b[49m\u001b[43m.\u001b[49m\u001b[43mlock\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 134\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_flock_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 135\u001b[39m \u001b[43m \u001b[49m\u001b[43mportalocker\u001b[49m\u001b[43m.\u001b[49m\u001b[43mLockFlags\u001b[49m\u001b[43m.\u001b[49m\u001b[43mEXCLUSIVE\u001b[49m\u001b[43m \u001b[49m\u001b[43m|\u001b[49m\u001b[43m \u001b[49m\u001b[43mportalocker\u001b[49m\u001b[43m.\u001b[49m\u001b[43mLockFlags\u001b[49m\u001b[43m.\u001b[49m\u001b[43mNON_BLOCKING\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 136\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m portalocker.exceptions.LockException:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\adm\\Documents\\rag_MILVUS\\.venv\\Lib\\site-packages\\portalocker\\portalocker.py:54\u001b[39m, in \u001b[36mlock\u001b[39m\u001b[34m(file_, flags)\u001b[39m\n\u001b[32m 53\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m exc_value.winerror == winerror.ERROR_LOCK_VIOLATION:\n\u001b[32m---> \u001b[39m\u001b[32m54\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exceptions.AlreadyLocked(\n\u001b[32m 55\u001b[39m exceptions.LockException.LOCK_FAILED,\n\u001b[32m 56\u001b[39m exc_value.strerror,\n\u001b[32m 57\u001b[39m fh=file_,\n\u001b[32m 58\u001b[39m ) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mexc_value\u001b[39;00m\n\u001b[32m 59\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 60\u001b[39m \u001b[38;5;66;03m# Q: Are there exceptions/codes we should be dealing with\u001b[39;00m\n\u001b[32m 61\u001b[39m \u001b[38;5;66;03m# here?\u001b[39;00m\n",
"\u001b[31mAlreadyLocked\u001b[39m: (1, 'El proceso no tiene acceso al archivo porque otro proceso tiene bloqueada una parte del archivo.')",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[31mRuntimeError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[36]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m query = \u001b[33m\"\u001b[39m\u001b[33m¿Cuál es el propósito de la Ley 018-2019?\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m results = \u001b[43mquery_qdrant\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mjus_decreto_018\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[34]\u001b[39m\u001b[32m, line 6\u001b[39m, in \u001b[36mquery_qdrant\u001b[39m\u001b[34m(query, model, collection_name, top_k)\u001b[39m\n\u001b[32m 3\u001b[39m query_embedding = model.encode([query])[\u001b[32m0\u001b[39m]\n\u001b[32m 5\u001b[39m \u001b[38;5;66;03m# Conexión al cliente Qdrant\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m client = \u001b[43mQdrantClient\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m./qdrant_data\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 8\u001b[39m \u001b[38;5;66;03m# Realizar búsqueda en la colección\u001b[39;00m\n\u001b[32m 9\u001b[39m results = client.search(\n\u001b[32m 10\u001b[39m collection_name=collection_name,\n\u001b[32m 11\u001b[39m query_vector=query_embedding.tolist(),\n\u001b[32m 12\u001b[39m limit=top_k, \u001b[38;5;66;03m# Limitar a los primeros K resultados más similares\u001b[39;00m\n\u001b[32m 13\u001b[39m with_payload=\u001b[38;5;28;01mTrue\u001b[39;00m \u001b[38;5;66;03m# Incluir el texto en los resultados\u001b[39;00m\n\u001b[32m 14\u001b[39m )\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\adm\\Documents\\rag_MILVUS\\.venv\\Lib\\site-packages\\qdrant_client\\qdrant_client.py:133\u001b[39m, in \u001b[36mQdrantClient.__init__\u001b[39m\u001b[34m(self, location, url, port, grpc_port, prefer_grpc, https, api_key, prefix, timeout, host, path, force_disable_check_same_thread, grpc_options, auth_token_provider, cloud_inference, local_inference_batch_size, check_compatibility, **kwargs)\u001b[39m\n\u001b[32m 128\u001b[39m \u001b[38;5;28mself\u001b[39m._client = QdrantLocal(\n\u001b[32m 129\u001b[39m location=location,\n\u001b[32m 130\u001b[39m force_disable_check_same_thread=force_disable_check_same_thread,\n\u001b[32m 131\u001b[39m )\n\u001b[32m 132\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m path \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m133\u001b[39m \u001b[38;5;28mself\u001b[39m._client = \u001b[43mQdrantLocal\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 134\u001b[39m \u001b[43m \u001b[49m\u001b[43mlocation\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 135\u001b[39m \u001b[43m \u001b[49m\u001b[43mforce_disable_check_same_thread\u001b[49m\u001b[43m=\u001b[49m\u001b[43mforce_disable_check_same_thread\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 136\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 138\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m location \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m url \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\adm\\Documents\\rag_MILVUS\\.venv\\Lib\\site-packages\\qdrant_client\\local\\qdrant_local.py:66\u001b[39m, in \u001b[36mQdrantLocal.__init__\u001b[39m\u001b[34m(self, location, force_disable_check_same_thread)\u001b[39m\n\u001b[32m 64\u001b[39m \u001b[38;5;28mself\u001b[39m.aliases: \u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m] = {}\n\u001b[32m 65\u001b[39m \u001b[38;5;28mself\u001b[39m._flock_file: Optional[TextIOWrapper] = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m66\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 67\u001b[39m \u001b[38;5;28mself\u001b[39m._closed: \u001b[38;5;28mbool\u001b[39m = \u001b[38;5;28;01mFalse\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\adm\\Documents\\rag_MILVUS\\.venv\\Lib\\site-packages\\qdrant_client\\local\\qdrant_local.py:138\u001b[39m, in \u001b[36mQdrantLocal._load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 133\u001b[39m portalocker.lock(\n\u001b[32m 134\u001b[39m \u001b[38;5;28mself\u001b[39m._flock_file,\n\u001b[32m 135\u001b[39m portalocker.LockFlags.EXCLUSIVE | portalocker.LockFlags.NON_BLOCKING,\n\u001b[32m 136\u001b[39m )\n\u001b[32m 137\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m portalocker.exceptions.LockException:\n\u001b[32m--> \u001b[39m\u001b[32m138\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[32m 139\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mStorage folder \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m.location\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is already accessed by another instance of Qdrant client.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 140\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m If you require concurrent access, use Qdrant server instead.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 141\u001b[39m )\n",
"\u001b[31mRuntimeError\u001b[39m: Storage folder ./qdrant_data is already accessed by another instance of Qdrant client. If you require concurrent access, use Qdrant server instead."
]
}
],
"source": [
"query = \"¿Cuál es el propósito de la Ley 018-2019?\"\n",
"results = query_qdrant(query, model,\"jus_decreto_018\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61d76427",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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",
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"nbformat_minor": 5
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|