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fixed capella free-tier issue and added some missing content
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autovec-tutorial/autovec_langchain.ipynb

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"jp-MarkdownHeadingCollapsed": true
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"source": [
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"# 1. Create and Deploy Your Free Tier Operational Cluster on Capella\n",
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"# 1. Create and Deploy Operational Cluster on Capella\n",
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" To get started with Couchbase Capella, create an account and use it to deploy a cluster. To know more, please follow the [instructions](https://docs.couchbase.com/cloud/get-started/create-account.html).\n",
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" ### Couchbase Capella Configuration\n",
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" When running Couchbase using [Capella](https://cloud.couchbase.com/sign-in), the following prerequisites need to be met:\n",
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" \n",
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" <img src=\"./img/vector_custom_field_mapping.png\" width=\"900px\" height=\"400px\" style=\"padding: 5px; border-radius: 10px 20px 30px 40px; border: 2px solid #555;\">\n",
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" \n",
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"5. After choosing your type of mapping, you will be required to either create an index on the new vector_embedding field or you can skip the creation of a vector index, which is not recommended as you will lose the functionality of vector searching.\n",
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"5. After choosing the type of mapping, it is required to either create an index on the new vector_embedding field or the creation of a vector index can be skipped, which is not recommended as the functionality of vector searching will be lost.\n",
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"\n",
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" <img src=\"./img/vector_index.png\" width=\"1200px\" height=\"500px\" style=\"padding: 5px; border-radius: 10px 20px 30px 40px; border: 2px solid #555;\">\n",
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"\n",
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"6. Review all the steps mentioned above, below screenshot highlights the whole process of deploying AutoVectorization workflow.\n",
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"6. Below screenshot highlights the whole process which were mentioned above, and click next afterwards as shown below.\n",
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"\n",
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" <img src=\"./img/vector_index_page.png\" width=\"1200px\" height=\"1200px\" style=\"padding: 5px; border-radius: 10px 20px 30px 40px; border: 2px solid #555;\">\n",
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" \n",
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"After this step, your vector embeddings for the selected fields should be ready, and you can check them out in the Capella UI. In the next step, we will demonstrate how we can use the generated vectors to perform vector search."
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"\n",
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"\n",
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"7. Select the model which will be used to create the embeddings. There are two options to create the embeddings, `capella based` and `external model`.\n",
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"\n",
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" - For this tutorial, capella based embedding model is used as can be seen in the image below. API credentials can be uploade using the file downloaded in `step 2.2` or it can be entered manually as well.\n",
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" - Choices between private and insecure networking is available to choose.\n",
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" - A click on `Next` will land you at the final page of the workflow.\n",
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"\n",
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"8. <B>`Workflow Summary`</B> will display all the necessary details of the workflow including `Data Source`, `Model Service` and `Billing Overview` as shown in image below.\n",
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"\n",
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" <img src=\"./img/workflow_summary.png\" width=\"800px\" height=\"500px\" style=\"padding: 5px; border-radius: 10px 20px 30px 40px; border: 2px solid #555;\">\n",
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"\n",
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"9. <B>`Hurray! Workflow Deployed`</B> Now in the `workflow` tabs we can see out workflow deployed and can check the status of our workflow. The status of the workflow run will be shown over here.\n",
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"\n",
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" <img src=\"./img/workflow_deployed.png\" width=\"1150px\" height=\"500px\" style=\"padding: 5px; border-radius: 10px 20px 30px 40px; border: 2px solid #555;\">\n",
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"\n",
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"After this step, your vector embeddings for the selected fields should be ready, and you can check them out in the Capella UI. In the next step, we will demonstrate how we can use the generated vectors to perform vector search.\n",
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"\n"
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