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docs: Improve the tidb vector store notebook (#18773)

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Remove redundant useless content, and fix some minor oversight
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Ian 2024-03-08 11:15:55 +08:00 committed by GitHub
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docs/docs/integrations/vectorstores/tidb_vector.ipynb
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@ -8,7 +8,7 @@
"\n",
"> [TiDB Cloud](https://tidbcloud.com/), is a comprehensive Database-as-a-Service (DBaaS) solution, that provides dedicated and serverless options. TiDB Serverless is now integrating a built-in vector search into the MySQL landscape. With this enhancement, you can seamlessly develop AI applications using TiDB Serverless without the need for a new database or additional technical stacks. Be among the first to experience it by joining the waitlist for the private beta at https://tidb.cloud/ai.\n",
"\n",
"In its latest version (insert version number here), TiDB introduces support for vector search. This notebook provides a detailed guide on utilizing the TiDB Vector functionality, showcasing its features and practical applications."
"This notebook provides a detailed guide on utilizing the TiDB Vector functionality, showcasing its features and practical applications."
]
},
{
@ -33,6 +33,7 @@
"source": [
"%pip install langchain\n",
"%pip install langchain-openai\n",
"%pip install pymysql\n",
"%pip install tidb-vector"
]
},