{"cells": [{"attachments": {}, "cell_type": "markdown", "id": "23cf319b", "metadata": {}, "source": ["<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/vector_stores/WeaviateIndex_metadata_filter.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"在 Colab 中打开\"/></a>\n"]}, {"attachments": {}, "cell_type": "markdown", "id": "307804a3-c02b-4a57-ac0d-172c30ddc851", "metadata": {}, "source": ["# Weaviate向量存储元数据过滤器\n"]}, {"attachments": {}, "cell_type": "markdown", "id": "5508d8ac", "metadata": {}, "source": ["如果您在colab上打开这个笔记本，您可能需要安装LlamaIndex 🦙。\n"]}, {"cell_type": "code", "execution_count": null, "id": "0beb6603", "metadata": {}, "outputs": [], "source": ["%pip install llama-index-vector-stores-weaviate"]}, {"cell_type": "code", "execution_count": null, "id": "b05d5956", "metadata": {}, "outputs": [], "source": ["!pip install llama-index weaviate-client"]}, {"attachments": {}, "cell_type": "markdown", "id": "f7010b1d-d1bb-4f08-9309-a328bb4ea396", "metadata": {}, "source": ["#### 创建一个Weaviate客户端\n"]}, {"cell_type": "code", "execution_count": null, "id": "08ad68ce", "metadata": {}, "outputs": [], "source": ["import os\n", "import openai\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"\"\n", "openai.api_key = os.environ[\"OPENAI_API_KEY\"]"]}, {"cell_type": "code", "execution_count": null, "id": "eccceb71", "metadata": {}, "outputs": [], "source": ["import logging\n", "import sys\n", "\n", "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n", "logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))"]}, {"cell_type": "code", "execution_count": null, "id": "df8b27e5-5ad5-4dfe-90c7-0cf1f1d1b37f", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/meta \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/meta \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://pypi.org/pypi/weaviate-client/json \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://pypi.org/pypi/weaviate-client/json \"HTTP/1.1 200 OK\"\n"]}], "source": ["import weaviate", "", "# 云端", "cluster_url = \"\"", "api_key = \"\"", "", "client = weaviate.connect_to_wcs(", "    cluster_url=cluster_url,", "    auth_credentials=weaviate.auth.AuthApiKey(api_key),", ")", "", "# 本地", "# client = weaviate.connect_to_local()"]}, {"attachments": {}, "cell_type": "markdown", "id": "8ee4473a-094f-4d0a-a825-e1213db07240", "metadata": {}, "source": ["#### 加载文档，构建VectorStoreIndex\n"]}, {"cell_type": "code", "execution_count": null, "id": "0a2bcc07", "metadata": {}, "outputs": [], "source": ["from llama_index.core import VectorStoreIndex\n", "from llama_index.vector_stores.weaviate import WeaviateVectorStore\n", "from IPython.display import Markdown, display"]}, {"attachments": {}, "cell_type": "markdown", "id": "3a41a70d", "metadata": {}, "source": ["## 元数据过滤\n", "\n", "让我们插入一个虚拟文档，并尝试进行过滤，以便只返回该文档。\n"]}, {"cell_type": "code", "execution_count": null, "id": "df6b6d46", "metadata": {}, "outputs": [], "source": ["from llama_index.core.schema import TextNode\n", "\n", "nodes = [\n", "    TextNode(\n", "        text=\"The Shawshank Redemption\",\n", "        metadata={\n", "            \"author\": \"Stephen King\",\n", "            \"theme\": \"Friendship\",\n", "            \"year\": 1994,\n", "        },\n", "    ),\n", "    TextNode(\n", "        text=\"The Godfather\",\n", "        metadata={\n", "            \"director\": \"Francis Ford Coppola\",\n", "            \"theme\": \"Mafia\",\n", "            \"year\": 1972,\n", "        },\n", "    ),\n", "    TextNode(\n", "        text=\"Inception\",\n", "        metadata={\n", "            \"director\": \"Christopher Nolan\",\n", "            \"theme\": \"Fiction\",\n", "            \"year\": 2010,\n", "        },\n", "    ),\n", "    TextNode(\n", "        text=\"To Kill a Mockingbird\",\n", "        metadata={\n", "            \"author\": \"Harper Lee\",\n", "            \"theme\": \"Mafia\",\n", "            \"year\": 1960,\n", "        },\n", "    ),\n", "    TextNode(\n", "        text=\"1984\",\n", "        metadata={\n", "            \"author\": \"George Orwell\",\n", "            \"theme\": \"Totalitarianism\",\n", "            \"year\": 1949,\n", "        },\n", "    ),\n", "    TextNode(\n", "        text=\"The Great Gatsby\",\n", "        metadata={\n", "            \"author\": \"F. Scott Fitzgerald\",\n", "            \"theme\": \"The American Dream\",\n", "            \"year\": 1925,\n", "        },\n", "    ),\n", "    TextNode(\n", "        text=\"Harry Potter and the Sorcerer's Stone\",\n", "        metadata={\n", "            \"author\": \"J.K. Rowling\",\n", "            \"theme\": \"Fiction\",\n", "            \"year\": 1997,\n", "        },\n", "    ),\n", "]"]}, {"cell_type": "code", "execution_count": null, "id": "30b0b2e3", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 404 Not Found\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: POST https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema \"HTTP/1.1 200 OK\"\n", "HTTP Request: POST https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/nodes \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/nodes \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/nodes \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/nodes \"HTTP/1.1 200 OK\"\n"]}], "source": ["from llama_index.core import StorageContext\n", "\n", "vector_store = WeaviateVectorStore(\n", "    weaviate_client=client, index_name=\"LlamaIndex_filter\"\n", ")\n", "storage_context = StorageContext.from_defaults(vector_store=vector_store)\n", "index = VectorStoreIndex(nodes, storage_context=storage_context)"]}, {"cell_type": "code", "execution_count": null, "id": "bfe83ebf", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n"]}, {"data": {"text/plain": ["[NodeWithScore(node=TextNode(id_='df310070-1480-46c1-8ec0-1052c172905e', embedding=[0.0031030464451760054, -0.024837113916873932, -0.022581512108445168, -0.03652292117476463, -0.007072651758790016, 0.011845098808407784, -0.04032048583030701, -0.027602458372712135, -0.01594213955104351, 0.007690712343901396, 0.02783184126019478, 0.02994726411998272, 0.018847661092877388, 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Rowling', 'theme': 'Fiction', 'year': 1997}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, text=\"Harry Potter and the Sorcerer's Stone\", start_char_idx=None, end_char_idx=None, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=1.0)]"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["retriever = index.as_retriever()\n", "retriever.retrieve(\"What is inception?\")"]}, {"cell_type": "code", "execution_count": null, "id": "c1bd18f8", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n"]}, {"data": {"text/plain": ["[NodeWithScore(node=TextNode(id_='34d778a1-b6bf-4a24-a1bf-ac659a9959ea', embedding=[-0.0017794573213905096, -0.023969227448105812, -0.01290263794362545, -0.035538844764232635, -0.00970841757953167, 0.02575497329235077, -0.0005831966991536319, 0.0009125220822170377, -0.02186909131705761, -0.0278173815459013, 0.023969227448105812, 0.018712596967816353, 0.028471317142248154, -0.0018627711106091738, 0.006259539630264044, 0.015468074008822441, 0.029024647548794746, -0.007985550910234451, 0.010418943129479885, -0.00027961216983385384, 0.010318337008357048, 0.006847452372312546, -0.029955245554447174, 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0.005510220304131508, -0.011692261323332787, 0.03152388706803322, 0.0046284557320177555, 0.002291618613526225, -0.05700138583779335, 0.002971513895317912, -0.006873240694403648, -0.004034153185784817, -0.014392462559044361, 0.011201315559446812, -0.004018003586679697, 0.00875304639339447, 0.0023546016309410334, 0.022945255041122437, 0.022131318226456642, -0.026485232636332512, 0.018862653523683548, -0.02326824516057968, -0.01074912864714861, 0.021511176601052284, 0.010290482081472874, -0.016963468864560127, -0.015774862840771675, -0.009334429167211056], metadata={'author': 'Harper Lee', 'theme': 'Mafia', 'year': 1960}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, text='To Kill a Mockingbird', start_char_idx=None, end_char_idx=None, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=1.0)]"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["from llama_index.core.vector_stores import (\n", "    MetadataFilter,\n", "    MetadataFilters,\n", "    FilterOperator,\n", ")\n", "\n", "\n", "filters = MetadataFilters(\n", "    filters=[\n", "        MetadataFilter(key=\"theme\", operator=FilterOperator.EQ, value=\"Mafia\"),\n", "    ]\n", ")\n", "\n", "retriever = index.as_retriever(filters=filters)\n", "retriever.retrieve(\"What is inception about?\")"]}, {"cell_type": "code", "execution_count": null, "id": "642bef1e", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n"]}, {"data": {"text/plain": ["[NodeWithScore(node=TextNode(id_='34d778a1-b6bf-4a24-a1bf-ac659a9959ea', embedding=[-0.0017794573213905096, -0.023969227448105812, -0.01290263794362545, -0.035538844764232635, -0.00970841757953167, 0.02575497329235077, -0.0005831966991536319, 0.0009125220822170377, -0.02186909131705761, -0.0278173815459013, 0.023969227448105812, 0.018712596967816353, 0.028471317142248154, -0.0018627711106091738, 0.006259539630264044, 0.015468074008822441, 0.029024647548794746, -0.007985550910234451, 0.010418943129479885, -0.00027961216983385384, 0.010318337008357048, 0.006847452372312546, -0.029955245554447174, -0.0007384276250377297, 0.004885647911578417, -0.0011467438889667392, 0.004489514045417309, 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0.007796915713697672, 0.027087993919849396, -0.04341121390461922, 0.022749386727809906, -0.027440112084150314, -0.007205858826637268, 0.03843124955892563, 0.013355361297726631, -0.005350947845727205, -0.01622261479496956, -0.025541186332702637], metadata={'director': 'Francis Ford Coppola', 'theme': 'Mafia', 'year': 1972}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, text='The Godfather', start_char_idx=None, end_char_idx=None, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=1.0)]"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["from llama_index.core.vector_stores import ExactMatchFilter, MetadataFilters\n", "\n", "\n", "filters = MetadataFilters(\n", "    filters=[\n", "        MetadataFilter(key=\"theme\", value=\"Mafia\"),\n", "        MetadataFilter(key=\"year\", value=1972),\n", "    ]\n", ")\n", "\n", "retriever = index.as_retriever(filters=filters)\n", "retriever.retrieve(\"What is inception?\")"]}, {"cell_type": "code", "execution_count": null, "id": "63ca00ac", "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["INFO:httpx:HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "HTTP Request: POST https://api.openai.com/v1/embeddings \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n", "HTTP Request: GET https://llamaindex-pythonv4-dhqgeqxq.weaviate.network/v1/schema/LlamaIndex_filter \"HTTP/1.1 200 OK\"\n"]}, {"data": {"text/plain": 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-0.014897171407938004, -0.01043056882917881, 0.03343898802995682, -0.023613736033439636, 0.03216463699936867, -0.01985439844429493, -0.02595854364335537, 0.005157938692718744, 0.020822906866669655, -0.0013332904782146215, -0.004982715006917715, -0.03565635904669762], metadata={'director': 'Christopher Nolan', 'theme': 'Fiction', 'year': 2010}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={}, text='Inception', start_char_idx=None, end_char_idx=None, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=1.0)]"]}, "execution_count": null, "metadata": {}, "output_type": "execute_result"}], "source": ["from llama_index.core.vector_stores import FilterOperator, FilterCondition\n", "\n", "\n", "filters = MetadataFilters(\n", "    filters=[\n", "        MetadataFilter(key=\"theme\", value=\"Fiction\"),\n", "        MetadataFilter(key=\"year\", value=1997, operator=FilterOperator.GT),\n", "    ],\n", "    condition=FilterCondition.OR,\n", ")\n", "\n", "retriever = index.as_retriever(filters=filters)\n", "retriever.retrieve(\"Harry Potter?\")"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "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": 5}