Added Couchbase similarity search tutorial #2
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| "metadata": {}, | ||
| "source": [ | ||
| "### Creating Couchbase Vector Search Index\n", | ||
| "In order to store Gemini embeddings onto a Couchbase Cluster, a vector search index needs to be created first. We included a sample index definition that will work with this tutorial in the `gemini_index.json` file. The definition can be used to create a vector index on Couchbase Capella, on more information on vector indexes, please read [Create a Vector Search Index on Capella](https://docs.couchbase.com/cloud/vector-search/create-vector-search-index-ui.html). Particularly, you can check [this section](https://docs.couchbase.com/cloud/current/vector-search/create-vector-search-index-ui.html#example) on how you can import `gemini_index.json`.\n", |
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We need a way inside tutorial to add gemini index. If someone is just seeing tutorial on developer portal, then it would make no sense on what this index is. Please do something like #1 or just give index definition in tutorial itself
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I followed the format on the mistral tutorial on vector-search-cookbook, following that I only added the gemini_index.json. I guess I'll just add the index definition in the nb.
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Followed the Mistral tutorial format on vector search cookbook (here) and the Qdrant similarity search format (here)