Spaces:
Running
Running
File size: 2,624 Bytes
cfd3735 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 |
{
"cells": [
{
"cell_type": "markdown",
"id": "ce0f17b9",
"metadata": {},
"source": [
"# Weaviate Hybrid Search\n",
"\n",
"This notebook shows how to use [Weaviate hybrid search](https://weaviate.io/blog/hybrid-search-explained) as a LangChain retriever."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "c10dd962",
"metadata": {},
"outputs": [],
"source": [
"import weaviate\n",
"import os\n",
"\n",
"WEAVIATE_URL = \"...\"\n",
"client = weaviate.Client(\n",
" url=WEAVIATE_URL,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f47a2bfe",
"metadata": {},
"outputs": [],
"source": [
"from langchain.retrievers.weaviate_hybrid_search import WeaviateHybridSearchRetriever\n",
"from langchain.schema import Document"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f2eff08e",
"metadata": {},
"outputs": [],
"source": [
"retriever = WeaviateHybridSearchRetriever(client, index_name=\"LangChain\", text_key=\"text\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "cd8a7b17",
"metadata": {},
"outputs": [],
"source": [
"docs = [Document(page_content=\"foo\")]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3c5970db",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['3f79d151-fb84-44cf-85e0-8682bfe145e0']"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"retriever.add_documents(docs)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "bf7dbb98",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='foo', metadata={})]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"retriever.get_relevant_documents(\"foo\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b2bc87c1",
"metadata": {},
"outputs": [],
"source": []
}
],
"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",
"version": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|