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12 changes: 8 additions & 4 deletions notebooks/vecdb/start_here/quickstart.ipynb
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"\n",
"## Before you begin\n",
"\n",
"1. [Choose a database deployment](https://docs.oracle.com/en/cloud/paas/autonomous-database/vcapi/use-adb-s.html) and complete its setup.\n",
"2. If required [create a new vector user name and password](https://docs.oracle.com/en/cloud/paas/autonomous-database/vcapi/manage-users.html), and copy the **SDK REST endpoint**.\n",
"3. Load the `all_MiniLM_L12_v2` embedding model [using the Vector Database Console](https://docs.oracle.com/en/database/oracle/sql-developer-web/sdwad/vdb-load-model-using-vector-database-console.html). The model name in Section 3 must match the loaded model exactly.\n",
"Set up your Oracle AI Database environment before you install the SDK:\n",
"\n",
"This notebook uses the SDK REST endpoint, not the Console URL."
"1. [Choose a database deployment](https://docs.oracle.com/en/cloud/paas/autonomous-database/vcapi/setup/choose-database-deployment.html), then complete the setup page for your deployment.\n",
"2. Save the vector-user name and password, and copy the SDK REST endpoint. You do not use the Console URL in the Python configuration.\n",
"3. This quickstart uses integrated embeddings. Load the `all_MiniLM_L12_v2` embedding model before running it. You can use another integrated embedding model; if you do, replace the `model` value in the table creation step with the exact name of the model you loaded. \n",
"See [Load a Model Using the Vector Database Console](https://docs.oracle.com/en/database/oracle/sql-developer-web/sdwad/vdb-load-model-using-vector-database-console.html).\n",
"\n",
"The quickstart uses the SDK REST endpoint, not the Console URL, and uses username and password authentication by default. For bearer-token configuration, see [Configuration](https://docs.oracle.com/en/cloud/paas/autonomous-database/vcapi/configuration.html).\n",
"\n"
]
},
{
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