{"id":33725,"date":"2023-02-07T12:32:10","date_gmt":"2023-07-31T01:20:03","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%b0%9d%e8%af%95%e4%bd%bf%e7%94%a8-azure-openai-%e6%9c%8d%e5%8a%a1%e5%92%8c%e8%99%9a%e6%8b%9f%e6%9c%ba%e4%b8%8a%e7%9a%84-redis-%e8%bf%9b%e8%a1%8c%e5%b5%8c%e5%85%a5%e5%92%8c%e5%90%91%e9%87%8f\/"},"modified":"2024-04-29T13:30:45","modified_gmt":"2024-04-29T05:30:45","slug":"%e5%b0%9d%e8%af%95%e4%bd%bf%e7%94%a8-azure-openai-%e6%9c%8d%e5%8a%a1%e5%92%8c%e8%99%9a%e6%8b%9f%e6%9c%ba%e4%b8%8a%e7%9a%84-redis-%e8%bf%9b%e8%a1%8c%e5%b5%8c%e5%85%a5%e5%92%8c%e5%90%91%e9%87%8f","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%b0%9d%e8%af%95%e4%bd%bf%e7%94%a8-azure-openai-%e6%9c%8d%e5%8a%a1%e5%92%8c%e8%99%9a%e6%8b%9f%e6%9c%ba%e4%b8%8a%e7%9a%84-redis-%e8%bf%9b%e8%a1%8c%e5%b5%8c%e5%85%a5%e5%92%8c%e5%90%91%e9%87%8f\/","title":{"rendered":"\u5c1d\u8bd5\u4f7f\u7528 Azure OpenAI \u670d\u52a1\u548c\u865a\u62df\u673a\u4e0a\u7684 Redis \u8fdb\u884c\u5d4c\u5165\u548c\u5411\u91cf\u641c\u7d22"},"content":{"rendered":"

\u6211\u5c1d\u8bd5\u4f7f\u7528Azure OpenAI\u670d\u52a1\u4e2d\u7684\u5d4c\u5165\u5411\u91cf\u6765\u8fdb\u884c\u6700\u8fd1\u6d41\u884c\u7684\u5411\u91cf\u641c\u7d22\u3002\u8fd9\u662f\u56e0\u4e3a\u6211\u60f3\u5c1d\u8bd5\u5728\u4e0d\u4f7f\u7528SaaS\u5411\u91cf\u6570\u636e\u5e93\u7684\u60c5\u51b5\u4e0b\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n

\u5728\u4f7f\u7528\u65b9\u6cd5\u4e0a\uff0c\u6211\u4eec\u4f7f\u7528\u4e86Redis\uff0c\u4f46\u662f\u5728\u8fdb\u884c\u5411\u91cf\u641c\u7d22\u65f6\u9700\u8981\u4f7f\u7528RediSearch\u6a21\u5757\u3002\u7136\u800c\uff0c\u5728Azure Cache for Redis\u7684PaaS\u4e2d\uff0c\u53ea\u6709\u4f01\u4e1a\u7248\u8ba1\u5212\u624d\u53ef\u4ee5\u4f7f\u7528RediSearch\u3002<\/p>\n

\u54ce\u5440\u5440\uff01\u8fd9\u4e2aEnterprise\u8ba1\u5212\u7b80\u76f4\u8d35\u5f97\u4ee4\u4eba\u96be\u4ee5\u7f6e\u4fe1\uff01<\/p>\n

 <\/p>\n

\u5373\u4f7f\u9009\u62e9\u6700\u4fbf\u5b9c\u7684E10\u8ba1\u5212\uff0c\u6bcf\u6708\u4e5f\u8981\u82b1\u8d39\u5927\u7ea613\u4e07\u3002<\/p>\n

\u56e0\u6b64\uff0c\u6211\u51b3\u5b9a\u5728Azure\u865a\u62df\u673a\u4e0a\u642d\u5efaRedis\u73af\u5883\uff0c\u56e0\u4e3a\u636e\u8bf4\u53ea\u9700\u642d\u5efaRedis Stack Server\u5c31\u53ef\u4ee5\u5b9e\u73b0\u3002<\/p>\n

\u8fd9\u6b21\u6211\u975e\u5e38\u53c2\u8003\u4e86\u4e0b\u9762\u7684\u6587\u7ae0\u3002<\/p>\n

 <\/p>\n

\u5728Azure OpenAI Service\u4e0a\u521b\u5efa\u5d4c\u5165\u6a21\u578b\u3002<\/h2>\n

\u5c06\u90e8\u7f72text-embedding-ada-002\u6a21\u578b\u3002
\n\u7531\u4e8eAzure OpenAI\u670d\u52a1\u9700\u8981\u7533\u8bf7\uff0c\u56e0\u6b64\u4e5f\u53ef\u4ee5\u4f7f\u7528\u5b98\u65b9\u7684OpenAI\u3002<\/p>\n

\"image.png\"<\/div>\n
\"image.png\"<\/div>\n

\u751f\u6210\u5d4c\u5165\u5230\u6570\u636e\u96c6\u4e2d\u7684\u5d4c\u5165<\/h2>\n

\u9996\u5148\uff0c\u6211\u4eec\u5c06\u8fdb\u884c\u4ee3\u7801\u7684\u5206\u5272\u5e76\u8fdb\u884c\u7f16\u5199\u3002
\n\u9996\u5148\uff0c\u5bfc\u5165\u6211\u4eec\u5c06\u8981\u4f7f\u7528\u7684\u5e93\u3002<\/p>\n

import<\/span> os<\/span>\r\nimport<\/span> ast<\/span>\r\nfrom<\/span> dotenv<\/span> import<\/span> load_dotenv<\/span>\r\nimport<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> openai<\/span>\r\nimport<\/span> pandas<\/span> as<\/span> pd<\/span>\r\nimport<\/span> redis<\/span>\r\nimport<\/span> tiktoken<\/span>\r\nfrom<\/span> openai.embeddings_utils<\/span> import<\/span> get_embedding<\/span>,<\/span> cosine_similarity<\/span>\r\nfrom<\/span> redis.commands.search.query<\/span> import<\/span> Query<\/span>,<\/span> Filter<\/span>\r\nfrom<\/span> redis.commands.search.result<\/span> import<\/span> Result<\/span>\r\nfrom<\/span> redis.commands.search.field<\/span> import<\/span> VectorField<\/span>,<\/span> TextField<\/span>\r\n<\/code><\/pre>\n
\u8bf7\u5c06\u5148\u524d\u7684\u5bc6\u94a5\u548c\u6a21\u578b\u540d\u79f0\u5199\u5165.env\u6587\u4ef6\u4e2d\u3002<\/p>\n
OPENAI_NAME=<\u30e2\u30c7\u30eb\u540d>\r\nOPENAI_KEY=<\u30a2\u30af\u30bb\u30b9\u30ad\u30fc>\r\n<\/code><\/pre>\n
OpenAI\u7684\u521d\u59cb\u8bbe\u5b9a\u7b49\u7b49\u3002<\/p>\n
load_dotenv<\/span>()<\/span>\r\n\r\nopenai_name<\/span> =<\/span> os<\/span>.<\/span>environ<\/span>.<\/span>get<\/span>(<\/span>\"<\/span>OPENAI_NAME<\/span>\"<\/span>)<\/span>\r\nopenai_uri<\/span> =<\/span> f<\/span>\"<\/span>https:\/\/<\/span>{<\/span>openai_name<\/span>}<\/span>.openai.azure.com\/<\/span>\"<\/span>\r\n\r\nopenai<\/span>.<\/span>api_type<\/span> =<\/span> \"<\/span>azure<\/span>\"<\/span>\r\nopenai<\/span>.<\/span>api_base<\/span> =<\/span> openai_uri<\/span>\r\nopenai<\/span>.<\/span>api_version<\/span> =<\/span> \"<\/span>2022-12-01<\/span>\"<\/span>\r\nopenai<\/span>.<\/span>api_key<\/span> =<\/span> os<\/span>.<\/span>environ<\/span>.<\/span>get<\/span>(<\/span>\"<\/span>OPENAI_KEY<\/span>\"<\/span>)<\/span>\r\n\r\n# embedding_model_for_[doc\/query] = \"\u30c7\u30d7\u30ed\u30a4\u3057\u305f\u30e2\u30c7\u30eb\u306e\u540d\u524d\" \r\n<\/span>embedding_model_for_doc<\/span> =<\/span> \"<\/span>text-search-doc<\/span>\"<\/span>\r\nembedding_model_for_query<\/span> =<\/span> \"<\/span>text-search-query<\/span>\"<\/span>\r\nembedding_encoding<\/span> =<\/span> \"<\/span>gpt2<\/span>\"<\/span>\r\nmax_tokens<\/span> =<\/span> 2000<\/span>\r\n\r\n<\/code><\/pre>\n
\u25a0\u7528\u4e8e\u641c\u7d22\u7684\u6570\u636e\u96c6<\/h3>\n
\u672c\u6b21\u4f7f\u7528\u7684\u641c\u7d22\u6570\u636e\u96c6\u662f\u4e4b\u524d\u4f7f\u7528\u8fc7\u7684\u9152\u5e97\u83dc\u5355\u7c7b\u4f3c\u7684\u4e1c\u897f\u3002<\/p>\n
\u9805\u76ee,\u30bf\u30a4\u30c8\u30eb,\u4fa1\u683c\r\n\u713c\u914e,\uff08\u828b\uff09\u5927\u9685\u3001\uff08\u828b\uff09\u91d1\u9ed2,530\u5186,\r\n\u713c\u914e,\uff08\u828b\uff09\u8fb2\u5bb6\u306e\u5ac1,630\u5186,\r\n\u713c\u914e,\uff08\u9ea6\uff09\u6751\u6b63,560\u5186,\r\n\u713c\u914e,\uff08\u9ea6\uff09\u541f\u9e97\u7384\u6d77,580\u5186,\r\n\u713c\u914e,\uff08\u7c73\uff09\u3082\u3063\u3053\u3059,560\u5186,\r\n\u713c\u914e,\uff08\u7c73\uff09\u9ce5\u98fc,680\u5186,\r\n\u713c\u914e,\uff08\u6ce1\u76db\uff09\u4e09\u5e74\u53e4\u9152 \u745e\u6cc9,800\u5186,\r\n\u65e5\u672c\u9152,\u677e\u7af9\u6885 \u4e0a\u64b0 \u8c6a\u5feb\uff08\u5175\u5eab\uff09,720\u5186,\r\n\u65e5\u672c\u9152,\u8d8a\u4e43\u666f\u864e \u672c\u91b8\u9020 \u8d85\u8f9b\u53e3\uff08\u65b0\u6f5f\uff09,\"1,080\u5186\",\r\n...\r\n<\/code><\/pre>\n
 <\/p>\n
\u8fdb\u884c\u5d4c\u5165\u5f0f\u64cd\u4f5c\u3002<\/p>\n
input_datapath<\/span> =<\/span> \"<\/span>data\/data.csv<\/span>\"<\/span>\r\ndf<\/span> =<\/span> pd<\/span>.<\/span>read_csv<\/span>(<\/span>input_datapath<\/span>)<\/span>\r\n\r\n#\u30bf\u30a4\u30c8\u30eb\u3068\u4fa1\u683c\u3092\u3042\u308f\u305b\u3066Combined\u5217\u3092\u4f5c\u308b\r\n<\/span>df<\/span>[<\/span>\"<\/span>Combined<\/span>\"<\/span>]<\/span> =<\/span> (<\/span>\r\n    \"<\/span>title: <\/span>\"<\/span> +<\/span> df<\/span>.<\/span>title<\/span>.<\/span>str<\/span>.<\/span>strip<\/span>()<\/span> +<\/span> \"<\/span>; Cost: <\/span>\"<\/span> +<\/span> df<\/span>.<\/span>cost<\/span>.<\/span>str<\/span>.<\/span>strip<\/span>()<\/span>\r\n)<\/span>\r\n\r\nencoding<\/span> =<\/span> tiktoken<\/span>.<\/span>get_encoding<\/span>(<\/span>embedding_encoding<\/span>)<\/span>\r\n\r\n# \u57cb\u3081\u8fbc\u307f\u5b9f\u884c data_embeddings.csv\u3068\u3057\u3066\u4fdd\u5b58\u3057\u3066\u304a\u304f\u3002\r\n<\/span>df<\/span>[<\/span>\"<\/span>Embedding<\/span>\"<\/span>]<\/span> =<\/span> df<\/span>[<\/span>\"<\/span>Combined<\/span>\"<\/span>].<\/span>apply<\/span>(<\/span>lambda<\/span> x<\/span>:<\/span> get_embedding<\/span>(<\/span>x<\/span>,<\/span> engine<\/span>=<\/span>embedding_model_for_doc<\/span>))<\/span>\r\ndf<\/span>.<\/span>to_csv<\/span>(<\/span>\"<\/span>data\/data_embeddings.csv<\/span>\"<\/span>)<\/span>\r\n\r\n<\/code><\/pre>\n
#\u3067\u304d\u3066\u308b\u304b\u78ba\u8a8d\r\n<\/span>df<\/span>[<\/span>\"<\/span>Embedding<\/span>\"<\/span>][<\/span>0<\/span>]<\/span>\r\n<\/code><\/pre>\n
[0.009056703187525272,\r\n -0.01744893752038479,\r\n -0.002270820550620556,\r\n 0.005382193252444267,\r\n 0.004461904522031546,\r\n -0.007069943007081747,\r\n -0.009907222352921963,\r\n -0.026645179837942123,\r\n -0.0163459200412035,\r\n -0.022964024916291237,\r\n...\r\n<\/code><\/pre>\n
\u770b\u8d77\u6765\u5f88\u575a\u5f3a\u3002
\n\u6211\u4eec\u8981\u786e\u8ba4\u751f\u6210\u5411\u91cf\u7684\u7ef4\u5ea6\u6570\u3002<\/p>\n
len<\/span>(<\/span>df<\/span>[<\/span>\"<\/span>Embedding<\/span>\"<\/span>][<\/span>0<\/span>])<\/span>\r\n\r\n# \u30d9\u30af\u30c8\u30eb\u7a7a\u9593\u306e\u6b21\u5143\u6570\u306f1536\r\n<\/span>embedding_dimension<\/span> =<\/span> 1536<\/span>  \r\n<\/code><\/pre>\n
\u5728\u4e09\u4e2a\u865a\u62df\u673a\u4e0a\u90e8\u7f72Redis Stack Server\u3002<\/h2>\n
\u6211\u5011\u6309\u7167\u4ee5\u4e0b\u6587\u4ef6\u9032\u884c\u53c3\u8003\u3002<\/p>\n
 <\/p>\n
\u672c\u6587\u5c06Azure\u865a\u62df\u673a\u521b\u5efa\u6b65\u9aa4\u7565\u8fc7\u3002
\n\u6211\u4eec\u5df2\u7ecf\u9a8c\u8bc1\u4e86Ubuntu 20.04\u64cd\u4f5c\u7cfb\u7edf\u3002
\n\u7531\u4e8e\u4f7f\u7528Docker\u6784\u5efa\u901f\u5ea6\u8f83\u5feb\uff0c\u6240\u4ee5\u6211\u4eec\u5c06\u6309\u7167\u5b98\u65b9\u7684\u6307\u5f15\u7ee7\u7eed\u8fdb\u884c\u3002<\/p>\n
\u9996\u5148, \u5b89\u88c5 Docker.<\/p>\n
sudo <\/span>apt-get update\r\nsudo <\/span>apt-get install <\/span>apt-transport-https ca-certificates curl software-properties-common\r\n\r\n#Docker\u306e\u516c\u5f0fGPG\u30ad\u30fc\u3092\u8ffd\u52a0<\/span>\r\ncurl -fsSL<\/span> https:\/\/download.docker.com\/linux\/ubuntu\/gpg | sudo <\/span>gpg --dearmor<\/span> -o<\/span> \/usr\/share\/keyrings\/docker-archive-keyring.gpg\r\n\r\n#Docker\u30ea\u30dd\u30b8\u30c8\u30ea\u3092\u8ffd\u52a0\u3002<\/span>\r\necho<\/span> \"deb [arch=<\/span>$(<\/span>dpkg --print-architecture<\/span>)<\/span> signed-by=\/usr\/share\/keyrings\/docker-archive-keyring.gpg] https:\/\/download.docker.com\/linux\/ubuntu <\/span>$(<\/span>lsb_release -cs<\/span>)<\/span> stable\"<\/span> | sudo tee<\/span> \/etc\/apt\/sources.list.d\/docker.list ><\/span> \/dev\/null\r\n\r\n#Docker\u30ea\u30dd\u30b8\u30c8\u30ea\u3092\u66f4\u65b0\u3057\u3066\u3001Docker\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002<\/span>\r\nsudo <\/span>apt-get update\r\nsudo <\/span>apt-get install <\/span>docker-ce docker-ce-cli containerd.io\r\n<\/code><\/pre>\n
#\u78ba\u8a8d<\/span>\r\nsudo <\/span>docker --version<\/span>\r\nDocker version 23.0.5, build bc4487a\r\n<\/code><\/pre>\n
# redis-cli\u3092\u4f7f\u3046\u305f\u3081\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304a\u304f<\/span>\r\nsudo <\/span>apt install <\/span>redis-tools\r\n<\/code><\/pre>\n
\u4f7f\u7528Docker\u542f\u52a8RedisStack\u670d\u52a1\u5668\u3002
\n\u6709\u5173\u542f\u52a8\u9009\u9879\uff0c\u8bf7\u53c2\u8003\u5b98\u65b9\u6587\u6863\u3002<\/p>\n
sudo <\/span>docker run -v<\/span> ~\/local-data\/:\/data -d<\/span> --name<\/span> redis-stack-server -p<\/span> 6379:6379 redis\/redis-stack-server:latest\r\n<\/code><\/pre>\n
\u8fde\u63a5\u5230Redis\u5e76\u8fdb\u884c\u786e\u8ba4\u68c0\u67e5<\/p>\n
redis-cli -h<\/span> 127.0.0.1 -p<\/span> 6379\r\n127.0.0.1:6379>\r\n<\/code><\/pre>\n
127.0.0.1:6379>  FT._LIST\r\n(<\/span>empty list or set<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u7531\u4e8e\u6ca1\u6709\u5efa\u7acb\u7d22\u5f15\uff0c\u6240\u4ee5\u76ee\u524d\u662f\u7a7a\u65e0\u4e00\u7269\u7684\u72b6\u6001\u3002<\/p>\n
\u5c1d\u8bd5\u8fdb\u884c4\u5411\u91cf\u641c\u7d22<\/h2>\n
\u4e3a\u4e86\u8ba9\u672c\u5730\u8fde\u63a5\u5230\u865a\u62df\u673a\u4e0a\u7684Redis\uff0c\u9700\u8981\u5148\u6253\u5f00\u7aef\u53e3\u3002<\/p>\n
\u7531\u4e8e\u9a8c\u8bc1\u76ee\u7684\uff0c\u4e00\u65e6\u8bd5\u9a8c\u7ed3\u675f\uff0c\u5c06\u5220\u9664\u6574\u4e2a\u865a\u62df\u673a\u3002<\/div>\n
\"image.png\"<\/div>\n
#host\u306f\u4eee\u60f3\u30de\u30b7\u30f3\u306e\u30d1\u30d6\u30ea\u30c3\u30afIP\r\n<\/span>redis_conn<\/span> =<\/span> redis<\/span>.<\/span>StrictRedis<\/span>(<\/span>host<\/span>=<\/span>\"<\/span>**.***.***.***<\/span>\"<\/span>,<\/span>port<\/span>=<\/span>6379<\/span>)<\/span>\r\n<\/code><\/pre>\n
# \u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3092\u4f5c\u6210\u3059\u308b\u3002\r\n<\/span>schema<\/span> =<\/span> ([<\/span>\r\n    TextField<\/span>(<\/span>\"<\/span>itemid<\/span>\"<\/span>),<\/span>\r\n    VectorField<\/span>(<\/span>\"<\/span>Embedding<\/span>\"<\/span>,<\/span> \"<\/span>HNSW<\/span>\"<\/span>,<\/span> {<\/span>\"<\/span>TYPE<\/span>\"<\/span>:<\/span> \"<\/span>FLOAT32<\/span>\"<\/span>,<\/span> \"<\/span>DIM<\/span>\"<\/span>:<\/span> embedding_dimension<\/span>,<\/span> \"<\/span>DISTANCE_METRIC<\/span>\"<\/span>:<\/span> \"<\/span>COSINE<\/span>\"<\/span> }),<\/span>\r\n    TextField<\/span>(<\/span>\"<\/span>title<\/span>\"<\/span>),<\/span>\r\n    TextField<\/span>(<\/span>\"<\/span>cost<\/span>\"<\/span>),<\/span>\r\n    TextField<\/span>(<\/span>\"<\/span>Combined<\/span>\"<\/span>),<\/span>\r\n])<\/span>\r\n\r\nredis_conn<\/span>.<\/span>ft<\/span>().<\/span>create_index<\/span>(<\/span>schema<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u5f53\u68c0\u67e5\u865a\u62df\u673a\u4e0a\u7684Redis\u65f6\uff0c\u53ef\u4ee5\u53d1\u73b0\u5df2\u7ecf\u521b\u5efa\u4e86\u7d22\u5f15\u3002<\/p>\n
127.0.0.1:6379> FT._LIST\r\n1) \"idx\"\r\n<\/code><\/pre>\n
\u6211\u5c06\u6570\u636e\u6dfb\u52a0\u5230Redis\u4e2d<\/p>\n
# Vm\u4e0a\u306eRedis\u306bdf\u306e\u30c7\u30fc\u30bf\u3092\u8ffd\u52a0\r\n<\/span>def<\/span> load_vectors<\/span>(<\/span>client<\/span>,<\/span>df<\/span>):<\/span>\r\n    p<\/span> =<\/span> client<\/span>.<\/span>pipeline<\/span>(<\/span>transaction<\/span>=<\/span>False<\/span>)<\/span>\r\n\r\n    for<\/span> i<\/span> in<\/span> df<\/span>.<\/span>index<\/span>:<\/span>\r\n        key<\/span> =<\/span> f<\/span>\"<\/span>doc:<\/span>{<\/span>str<\/span>(<\/span>i<\/span>)<\/span>}<\/span>\"<\/span>\r\n        data<\/span> =<\/span> {<\/span>\r\n            \"<\/span>itemid<\/span>\"<\/span>:<\/span> str<\/span>(<\/span>i<\/span>),<\/span>\r\n            \"<\/span>Embedding<\/span>\"<\/span>:<\/span> np<\/span>.<\/span>array<\/span>(<\/span>df<\/span>[<\/span>\"<\/span>Embedding<\/span>\"<\/span>][<\/span>i<\/span>]).<\/span>astype<\/span>(<\/span>np<\/span>.<\/span>float32<\/span>).<\/span>tobytes<\/span>(),<\/span>\r\n            \"<\/span>title<\/span>\"<\/span>:<\/span> df<\/span>[<\/span>\"<\/span>title<\/span>\"<\/span>][<\/span>i<\/span>],<\/span>\r\n            \"<\/span>cost<\/span>\"<\/span>:<\/span> df<\/span>[<\/span>\"<\/span>cost<\/span>\"<\/span>][<\/span>i<\/span>],<\/span>\r\n            \"<\/span>Combined<\/span>\"<\/span>:<\/span> df<\/span>[<\/span>\"<\/span>Combined<\/span>\"<\/span>][<\/span>i<\/span>],<\/span>\r\n        }<\/span>\r\n        # \u30c7\u30fc\u30bf\u3092\u8ffd\u52a0\u3059\u308b\r\n<\/span>        client<\/span>.<\/span>hset<\/span>(<\/span>key<\/span>,<\/span> mapping<\/span>=<\/span>data<\/span>)<\/span>\r\n\r\n    p<\/span>.<\/span>execute<\/span>()<\/span>\r\n\r\nload_vectors<\/span>(<\/span>redis_conn<\/span>,<\/span> df<\/span>)<\/span>\r\n<\/code><\/pre>\n
#\u30c7\u30fc\u30bf\u304c\u8ffd\u52a0\u3055\u308c\u305f\u304b\u78ba\u8a8d\u3059\u308b\r\n<\/span>print<\/span>(<\/span>\"<\/span>Index size: <\/span>\"<\/span>,<\/span> redis_conn<\/span>.<\/span>ft<\/span>().<\/span>info<\/span>()[<\/span>'<\/span>num_docs<\/span>'<\/span>])<\/span>\r\n<\/code><\/pre>\n
Index size:  119\r\n<\/code><\/pre>\n
\u4f3c\u4e4e\u5df2\u7ecf\u6b63\u786e\u6dfb\u52a0\u4e86\u3002<\/p>\n
\u5c31\u7b97\u8fd9\u6837\uff0c\u8fd8\u662f\u5728Redis\u90a3\u8fb9\u786e\u8ba4\u4e00\u4e0b<\/p>\n
127.0.0.1:6379> KEYS *\r\n  1) \"doc:97\"\r\n  2) \"doc:115\"\r\n  3) \"doc:18\"\r\n  4) \"doc:31\"\r\n  5) \"doc:103\"\r\n  6) \"doc:19\"\r\n<\/code><\/pre>\n
127.0.0.1:6379> FT.INFO idx\r\n 1) index_name\r\n 2) idx\r\n 3) index_options\r\n...\r\n 9) num_docs\r\n10) \"119\"\r\n<\/code><\/pre>\n
\u7531\u4e8e\u6587\u6863\u6570\u91cf\u4e3a119\uff0c\u56e0\u6b64\u4e5f\u5df2\u5728\u7d22\u5f15\u4e2d\u6ce8\u518c\u3002\u597d\u7684\uff0c\u6ca1\u95ee\u9898\u3002<\/p>\n
# \u30af\u30a8\u30ea\u306b\u30de\u30c3\u30c1\u3059\u308b\u30e1\u30cb\u30e5\u30fc\u3092\u691c\u7d22\u3057\u3066\u8fd4\u3059\u95a2\u6570\r\n<\/span>def<\/span> search_reviews_redis<\/span>(<\/span>query<\/span>,<\/span> n<\/span>=<\/span>3<\/span>,<\/span> pprint<\/span>=<\/span>True<\/span>,<\/span> engine<\/span>=<\/span>embedding_model_for_query<\/span>):<\/span>\r\n    q_vec<\/span> =<\/span> np<\/span>.<\/span>array<\/span>(<\/span>get_embedding<\/span>(<\/span>query<\/span>,<\/span> engine<\/span>=<\/span>engine<\/span>)).<\/span>astype<\/span>(<\/span>np<\/span>.<\/span>float32<\/span>).<\/span>tobytes<\/span>()<\/span>\r\n    \r\n    q<\/span> =<\/span> Query<\/span>(<\/span>f<\/span>\"<\/span>*=>[KNN <\/span>{<\/span>n<\/span>}<\/span> @Embedding $vec_param AS vector_score]<\/span>\"<\/span>).<\/span>sort_by<\/span>(<\/span>\"<\/span>vector_score<\/span>\"<\/span>).<\/span>paging<\/span>(<\/span>0<\/span>,<\/span>n<\/span>).<\/span>return_fields<\/span>(<\/span>\"<\/span>vector_score<\/span>\"<\/span>,<\/span> \"<\/span>Combined<\/span>\"<\/span>).<\/span>return_fields<\/span>(<\/span>\"<\/span>vector_score<\/span>\"<\/span>).<\/span>dialect<\/span>(<\/span>2<\/span>)<\/span>\r\n    \r\n    params_dict<\/span> =<\/span> {<\/span>\"<\/span>vec_param<\/span>\"<\/span>:<\/span> q_vec<\/span>}<\/span>\r\n    ret_redis<\/span> =<\/span> redis_conn<\/span>.<\/span>ft<\/span>().<\/span>search<\/span>(<\/span>q<\/span>,<\/span> query_params<\/span> =<\/span> params_dict<\/span>)<\/span>\r\n    \r\n    columns<\/span> =<\/span> [<\/span>\"<\/span>Similarity<\/span>\"<\/span>,<\/span> \"<\/span>Ret_Combined<\/span>\"<\/span>]<\/span>\r\n    ret_df<\/span> =<\/span> pd<\/span>.<\/span>DataFrame<\/span>(<\/span>columns<\/span>=<\/span>columns<\/span>)<\/span>\r\n\r\n    for<\/span> doc<\/span> in<\/span> ret_redis<\/span>.<\/span>docs<\/span>:<\/span>\r\n        # \u30b3\u30b5\u30a4\u30f3\u8ddd\u96e2\u3092\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306b\u5909\u63db\r\n<\/span>        sim<\/span> =<\/span> 1<\/span> -<\/span> float<\/span>(<\/span>doc<\/span>.<\/span>vector_score<\/span>)<\/span>\r\n\r\n        com<\/span> =<\/span> doc<\/span>.<\/span>Combined<\/span>[:<\/span>200<\/span>].<\/span>replace<\/span>(<\/span>\"<\/span>title: <\/span>\"<\/span>,<\/span> \"\"<\/span>).<\/span>replace<\/span>(<\/span>\"<\/span>; cost:<\/span>\"<\/span>,<\/span> \"<\/span>: <\/span>\"<\/span>)<\/span>\r\n\r\n        append_df<\/span> =<\/span> pd<\/span>.<\/span>DataFrame<\/span>(<\/span>data<\/span>=<\/span>[[<\/span>sim<\/span>,<\/span> com<\/span>]],<\/span> columns<\/span>=<\/span>columns<\/span>)<\/span>\r\n\r\n        ret_df<\/span> =<\/span> pd<\/span>.<\/span>concat<\/span>([<\/span>ret_df<\/span>,<\/span> append_df<\/span>],<\/span> ignore_index<\/span>=<\/span>True<\/span>,<\/span> axis<\/span>=<\/span>0<\/span>)<\/span>\r\n\r\n        if<\/span> pprint<\/span>:<\/span>\r\n            print<\/span>(<\/span>\"<\/span>%s | %s<\/span>\\n<\/span>\"<\/span> %<\/span> (<\/span>sim<\/span>,<\/span> com<\/span>))<\/span>\r\n    return<\/span> ret_df<\/span>\r\n<\/code><\/pre>\n
\u6211\u5c06\u5c1d\u8bd5\u8fdb\u884c\u641c\u7d22\u3002<\/p>\n
results_redis = search_reviews_redis(\"\u304f\u305f\u3073\u308c\u305f\u30b5\u30e9\u30ea\u30fc\u30de\u30f3\u304c\u597d\u3080\u304a\u9152\")\r\n<\/code><\/pre>\n
\u7ed3\u679c<\/p>\n
0.01746213436099997 | title: \u96c1\u6728 \u7d14\u7c73 \u7121\u6ffe\u904e\u751f\u539f\u9152\uff08\u5c71\u53e3\uff09; Cost: 1,080\u5186\r\n\r\n0.005576133728000032 | title: \u7d14\u7c73\u8d85\u8f9b\u53e3 \u8239\u4e2d\u516b\u7b56\uff08\u9ad8\u77e5\uff09; Cost: 1,280\u5186\r\n\r\n0.003577470778999947 | title: \u9154\u9be8 \u541f\u9e97 \u7d14\u7c73\u541f\u91b8\uff08\u9ad8\u77e5\uff09; Cost: 1,280\u5186\r\n<\/code><\/pre>\n
\u4f60\u89c9\u5f97\u600e\u6837\uff1f\u6709\u4eba\u53ef\u4ee5\u544a\u8bc9\u6211\u9152\u65b9\u9762\u5f88\u61c2\u7684\u4eba\u5417\uff1f?<\/p>\n
\u987a\u4fbf\u8bf4\u4e00\u4e0b\uff0c\u5047\u8bbe\u4f60\u5728\u67e5\u8be2\u4e2d\u8981\u5305\u542b\u641c\u7d22\u8bcd\uff0c\u60c5\u51b5\u5c31\u4f1a\u662f\u8fd9\u6837\u3002<\/p>\n
q<\/span> =<\/span> Query<\/span>(<\/span>f<\/span>\"<\/span>@title:(*<\/span>{<\/span>query<\/span>}<\/span>*)=>[KNN <\/span>{<\/span>n<\/span>}<\/span> @Embedding $vec_param AS vector_score]<\/span>\"<\/span>).<\/span>sort_by<\/span>(<\/span>\"<\/span>vector_score<\/span>\"<\/span>).<\/span>paging<\/span>(<\/span>0<\/span>,<\/span>n<\/span>).<\/span>return_fields<\/span>(<\/span>\"<\/span>vector_score<\/span>\"<\/span>,<\/span> \"<\/span>Combined<\/span>\"<\/span>).<\/span>return_fields<\/span>(<\/span>\"<\/span>vector_score<\/span>\"<\/span>).<\/span>dialect<\/span>(<\/span>2<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u7531\u4e8e\u516c\u5f0f\u4e2d\u8bb0\u8f7d\u4e86\u5404\u79cd\u67e5\u8be2\u7684\u5199\u6cd5\uff0c\u6211\u6253\u7b97\u5c1d\u8bd5\u4e00\u4e0b\u5404\u79cd\u65b9\u5f0f\u3002<\/p>\n
 <\/p>\n
\u6700\u540e<\/h2>\n
\u8fd8\u6709\u5f88\u591a\u95ee\u9898\uff0c\u6216\u8005\u8bf4\uff0c\u8fd9\u4e2a\u95ee\u9898\u4e0d\u80fd\u89e3\u51b3\u5417\uff1f\u8fd9\u4e2a\u95ee\u9898\u4e0d\u80fd\u89e3\u51b3\u5417\uff1f\u8fd8\u6709\u4e00\u4e9b\u7c7b\u4f3c\u4e8e\u201c\u5947\u602a\u554a\u201d\u7684\u5730\u65b9\uff0c\u4f46\u603b\u7684\u6765\u8bf4\uff0c\u6211\u77e5\u9053\u5b83\u53ef\u4ee5\u5728\u865a\u62df\u673a\u7684Redis\u4e0a\u8fd0\u884c\uff01<\/p>\n
\u6211\u8ba4\u4e3a\u6839\u636e\u5177\u4f53\u60c5\u51b5\uff0c\u6709\u65f6\u5019\u53ef\u80fd\u65e0\u6cd5\u4f7f\u7528SaaS\u670d\u52a1\uff0c\u6240\u4ee5\u5728\u90a3\u79cd\u60c5\u51b5\u4e0b\u8fd9\u4e2a\u4f1a\u975e\u5e38\u65b9\u4fbf\u3002
\n\u55ef\uff0c\u786e\u5b9e\uff0c\u5982\u679c\u80fd\u591f\u5728Azure\u8ba4\u77e5\u641c\u7d22\u4e2d\u8fdb\u884c\u5411\u91cf\u641c\u7d22\uff0c\u90a3\u5c31\u53ef\u4ee5\u89e3\u51b3\u4e00\u5207\u95ee\u9898\u4e86?<\/p>\n
\u4e0d\u4e45\u4e4b\u540e\uff0c\u6211\u4eec\u4e5f\u6765\u8bd5\u8bd5SaaS\u670d\u52a1\u7684PineCone\u5427\u3002<\/p>\n
\u4f7f\u7528\u5b8c\u6bd5\u7684Azure\u8d44\u6e90\u4e0d\u8981\u5fd8\u8bb0\u5220\u9664\uff01<\/div>\n
\u6211\u53c2\u8003\u4e86\u8fd9\u7bc7\u6587\u7ae0\u3002<\/h2>\n
 <\/p>\n","protected":false},"excerpt":{"rendered":"
\u6211\u5c1d\u8bd5\u4f7f\u7528Azure OpenAI\u670d\u52a1\u4e2d\u7684\u5d4c\u5165\u5411\u91cf\u6765\u8fdb\u884c\u6700\u8fd1\u6d41\u884c\u7684\u5411\u91cf\u641c\u7d22\u3002\u8fd9\u662f\u56e0\u4e3a\u6211\u60f3\u5c1d\u8bd5\u5728\u4e0d\u4f7f\u7528SaaS\u5411 […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-33725","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n\u5c1d\u8bd5\u4f7f\u7528 Azure OpenAI \u670d\u52a1\u548c\u865a\u62df\u673a\u4e0a\u7684 Redis \u8fdb\u884c\u5d4c\u5165\u548c\u5411\u91cf\u641c\u7d22 - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5c1d\u8bd5\u4f7f\u7528-azure-openai-\u670d\u52a1\u548c\u865a\u62df\u673a\u4e0a\u7684-redis-\u8fdb\u884c\u5d4c\u5165\u548c\u5411\u91cf\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5c1d\u8bd5\u4f7f\u7528 Azure OpenAI \u670d\u52a1\u548c\u865a\u62df\u673a\u4e0a\u7684 Redis \u8fdb\u884c\u5d4c\u5165\u548c\u5411\u91cf\u641c\u7d22\" \/>\n<meta property=\"og:description\" content=\"\u6211\u5c1d\u8bd5\u4f7f\u7528Azure OpenAI\u670d\u52a1\u4e2d\u7684\u5d4c\u5165\u5411\u91cf\u6765\u8fdb\u884c\u6700\u8fd1\u6d41\u884c\u7684\u5411\u91cf\u641c\u7d22\u3002\u8fd9\u662f\u56e0\u4e3a\u6211\u60f3\u5c1d\u8bd5\u5728\u4e0d\u4f7f\u7528SaaS\u5411 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u5c1d\u8bd5\u4f7f\u7528-azure-openai-\u670d\u52a1\u548c\u865a\u62df\u673a\u4e0a\u7684-redis-\u8fdb\u884c\u5d4c\u5165\u548c\u5411\u91cf\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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