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Xarray as an embedded vector database
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"# Xarray as a Vector Database\n",
"\n",
"This little experiment shows that it is straightforward to use Xarray as an embedded vector database.\n",
"\n",
"We will create a custom [Xarray Accessor](https://docs.xarray.dev/en/stable/internals/extending-xarray.html) extension called `vector` which performs nearest-neighbor search across a multidimensional vector space. This is meant to represent the embedding space of an LLM.\n"
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"source": [
"import xarray as xr\n",
"import numpy as np\n",
"from scipy.spatial import KDTree\n",
"\n",
"@xr.register_dataset_accessor(\"vector\")\n",
"class VectorAccessor:\n",
" def __init__(self, xarray_obj):\n",
" self._obj = xarray_obj\n",
"\n",
" def set_index(self, vector_variable=\"vectors\", embedding_dim=\"embedding\"):\n",
" vector_var = self._obj[vector_variable]\n",
" assert vector_var.ndim == 2\n",
" assert embedding_dim in vector_var.dims\n",
" self._sample_dim = [dim for dim in vector_var.dims if dim != embedding_dim][0]\n",
" self._embedding_dim = embedding_dim\n",
" self._vectors = vector_var.transpose(self._sample_dim, self._embedding_dim)\n",
" self._tree = KDTree(self._vectors.values)\n",
"\n",
" def query(\n",
" self,\n",
" vectors,\n",
" k=1,\n",
" distance_var_name=\"distance\",\n",
" k_var_name=\"k\",\n",
" query_vector_var_name=\"query_vectors\",\n",
" query_dim_name=\"query\",\n",
" **kwargs\n",
" ):\n",
" vectors = np.asarray(vectors)\n",
" assert vectors.ndim == 2\n",
" nqueries, nd = vectors.shape\n",
" assert nd == self._obj.dims[self._embedding_dim]\n",
"\n",
" # the expensive part\n",
" dist, idx = self._tree.query(vectors, k=k, **kwargs)\n",
"\n",
" # figure out the indexing of the result\n",
" if isinstance(k, int):\n",
" kcoords = np.arange(1, k+1)\n",
" nk = k\n",
" if k==1:\n",
" idx = idx[:, None]\n",
" dist = dist[:, None]\n",
" else:\n",
" kcoords = k # assume a list-like object\n",
" nk = len(k)\n",
"\n",
" # make sure we understand the result shape\n",
" assert dist.shape == idx.shape\n",
" assert idx.shape == (nqueries, nk)\n",
"\n",
" # select the samples\n",
" result_dims = [query_dim_name, self._sample_dim]\n",
" indexer = xr.DataArray(idx, dims=result_dims)\n",
" result = self._obj.isel({self._sample_dim: indexer})\n",
"\n",
" # augment the result with the distance and k coordinates\n",
" result.coords[distance_var_name] = xr.DataArray(dist, dims=result_dims)\n",
" result.coords[k_var_name] = xr.DataArray(kcoords, dims=[self._sample_dim])\n",
" result.coords[query_vector_var_name] = xr.DataArray(vectors, dims=[query_dim_name, self._embedding_dim])\n",
" return result\n"
]
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"source": [
"\n",
"To use this, first we create some vectors as a numpy array.\n",
"These are three vectors in a 3D space.\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"vectors = np.array(\n",
" [\n",
" [1, 0, 0],\n",
" [0, 1, 0],\n",
" [0, 0, 1],\n",
" ]\n",
")\n"
]
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{
"attachments": {},
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"Now we wrap these with an Xarray dataset. We define two dimensions:\n",
"\n",
"- `sample`: representing the distinct sample documents that have been embedded using the LLM. There is one vector for each.\n",
"- `embedding` the vector space dimension.\n",
"\n",
"We make `vectors` a coordinate variable.\n",
"We also define a data variable `documents` representing the actual data from which the embeddings were generated."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (sample: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (sample, embedding) int64 1 0 0 0 1 0 0 0 1\n",
"Dimensions without coordinates: sample, embedding\n",
"Data variables:\n",
" documents (sample) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0cebc028-5e9d-461f-8729-230413376406' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0cebc028-5e9d-461f-8729-230413376406' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>sample</span>: 3</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-75d32f0e-c96e-4aae-8030-8d76ec98cc9d' class='xr-section-summary-in' type='checkbox' checked><label for='section-75d32f0e-c96e-4aae-8030-8d76ec98cc9d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(sample, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 0 0 0 1 0 0 0 1</div><input id='attrs-2d3d0d5e-9067-48cf-be27-0a17761023a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d3d0d5e-9067-48cf-be27-0a17761023a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52a6b0d0-04bc-49a9-a41f-b976eb427b6e' class='xr-var-data-in' type='checkbox'><label for='data-52a6b0d0-04bc-49a9-a41f-b976eb427b6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1, 0, 0],\n",
" [0, 1, 0],\n",
" [0, 0, 1]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f40df0b8-340a-4767-986c-b675b6e77c3c' class='xr-section-summary-in' type='checkbox' checked><label for='section-f40df0b8-340a-4767-986c-b675b6e77c3c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-9298dd23-a47c-4efa-87ad-2587b3a85af2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9298dd23-a47c-4efa-87ad-2587b3a85af2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d94cb59b-2ff3-409d-88fb-9a843b4e51bd' class='xr-var-data-in' type='checkbox'><label for='data-d94cb59b-2ff3-409d-88fb-9a843b4e51bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57a1ea50-1afe-4787-be0a-8d8a36fae76e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57a1ea50-1afe-4787-be0a-8d8a36fae76e' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-df93befb-b8e7-46ed-8679-1a2ce6f167e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df93befb-b8e7-46ed-8679-1a2ce6f167e8' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (sample: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (sample, embedding) int64 1 0 0 0 1 0 0 0 1\n",
"Dimensions without coordinates: sample, embedding\n",
"Data variables:\n",
" documents (sample) <U1 'a' 'b' 'c'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds = xr.DataArray(\n",
" vectors,\n",
" dims=[\"sample\", \"embedding\"],\n",
" name=\"vectors\"\n",
").to_dataset().set_coords(\"vectors\")\n",
"ds[\"documents\"] = (\"sample\", [\"a\", \"b\", \"c\"])\n",
"ds.vector.set_index()\n",
"ds"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can query this vector space to find the nearest vectors.\n",
"\n",
"Single point query, single nearest neighbor:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (query: 1, sample: 1, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0\n",
" distance (query, sample) float64 0.8\n",
" k (sample) int64 1\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) &lt;U1 &#x27;b&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1f8a13ac-781f-40ff-ba85-922d0feedac9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f8a13ac-781f-40ff-ba85-922d0feedac9' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>query</span>: 1</li><li><span>sample</span>: 1</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7f928981-8ff9-43fd-bcc5-b7a099e86ba4' class='xr-section-summary-in' type='checkbox' checked><label for='section-7f928981-8ff9-43fd-bcc5-b7a099e86ba4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(query, sample, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 0</div><input id='attrs-3621128a-f875-45ff-8fde-5329d341c5f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3621128a-f875-45ff-8fde-5329d341c5f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5aaca3f-e238-4504-bddf-c34bc6f315b0' class='xr-var-data-in' type='checkbox'><label for='data-a5aaca3f-e238-4504-bddf-c34bc6f315b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 1, 0]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8</div><input id='attrs-c1102429-b0e8-4509-a9c8-6712d33a8023' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1102429-b0e8-4509-a9c8-6712d33a8023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c85dbf54-079f-4d96-92e4-b14729bbeb91' class='xr-var-data-in' type='checkbox'><label for='data-c85dbf54-079f-4d96-92e4-b14729bbeb91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.8]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-a21d24aa-5cdf-4798-8a38-79968a2b423a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a21d24aa-5cdf-4798-8a38-79968a2b423a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b18d83e8-de18-447a-8966-fdb346d442d9' class='xr-var-data-in' type='checkbox'><label for='data-b18d83e8-de18-447a-8966-fdb346d442d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>query_vectors</span></div><div class='xr-var-dims'>(query, embedding)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2 0.0</div><input id='attrs-aaab477c-798f-4e5a-8b78-cb13c74763e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aaab477c-798f-4e5a-8b78-cb13c74763e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6470871a-2341-4b1a-858c-ed2fe000814d' class='xr-var-data-in' type='checkbox'><label for='data-6470871a-2341-4b1a-858c-ed2fe000814d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0. , 0.2, 0. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebc57c74-6349-453a-80da-10aae6fdb4af' class='xr-section-summary-in' type='checkbox' checked><label for='section-ebc57c74-6349-453a-80da-10aae6fdb4af' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-65074255-eaef-4141-a929-3970b3ae253a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65074255-eaef-4141-a929-3970b3ae253a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e665865d-8e36-46b2-b004-cd22c22d24d2' class='xr-var-data-in' type='checkbox'><label for='data-e665865d-8e36-46b2-b004-cd22c22d24d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;b&#x27;]], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abcd9336-4ba5-4a44-8f97-48d30c67a61f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-abcd9336-4ba5-4a44-8f97-48d30c67a61f' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e5e71896-8eff-45b4-b0de-7344f3ca3914' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5e71896-8eff-45b4-b0de-7344f3ca3914' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (query: 1, sample: 1, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0\n",
" distance (query, sample) float64 0.8\n",
" k (sample) int64 1\n",
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"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) <U1 'b'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.vector.query([[0, 0.2, 0]])"
]
},
{
"attachments": {},
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"metadata": {},
"source": [
"Single point, multiple nearest neighbors:"
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{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (query: 1, sample: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 0 0 1 1 0 0\n",
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" query_vectors (query, embedding) float64 0.0 0.2 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) &lt;U1 &#x27;b&#x27; &#x27;c&#x27; &#x27;a&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-28d1d70f-9489-4ab9-9a63-b2d380b4e967' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-28d1d70f-9489-4ab9-9a63-b2d380b4e967' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>query</span>: 1</li><li><span>sample</span>: 3</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-60f32ea1-7938-4d19-8d12-e5af1598cc0e' class='xr-section-summary-in' type='checkbox' checked><label for='section-60f32ea1-7938-4d19-8d12-e5af1598cc0e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(query, sample, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 0 0 0 1 1 0 0</div><input id='attrs-b8dfa155-d0b3-4952-9ef8-5af72811feb9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8dfa155-d0b3-4952-9ef8-5af72811feb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a521dc51-4ab9-419b-b9f0-124dd062eba0' class='xr-var-data-in' type='checkbox'><label for='data-a521dc51-4ab9-419b-b9f0-124dd062eba0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 1, 0],\n",
" [0, 0, 1],\n",
" [1, 0, 0]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 1.02 1.02</div><input id='attrs-a2204f85-61d4-4197-a6c0-9542f79c5d70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2204f85-61d4-4197-a6c0-9542f79c5d70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-222dcdb8-e96c-4417-8978-c8b530b31525' class='xr-var-data-in' type='checkbox'><label for='data-222dcdb8-e96c-4417-8978-c8b530b31525' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.8 , 1.0198039, 1.0198039]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-08f70082-0f6d-4991-9b8a-4f5100b65b13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08f70082-0f6d-4991-9b8a-4f5100b65b13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-159a266a-2cb8-45d9-a438-37cf2582b224' class='xr-var-data-in' type='checkbox'><label for='data-159a266a-2cb8-45d9-a438-37cf2582b224' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>query_vectors</span></div><div class='xr-var-dims'>(query, embedding)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2 0.0</div><input id='attrs-7e03ae96-0ef3-4938-90b2-d0bed879ac83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e03ae96-0ef3-4938-90b2-d0bed879ac83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03762afd-a90a-4f7b-b9fb-03f79e9bbb4b' class='xr-var-data-in' type='checkbox'><label for='data-03762afd-a90a-4f7b-b9fb-03f79e9bbb4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0. , 0.2, 0. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-afaa7969-4f35-4f98-b534-8b8b9b0f1d75' class='xr-section-summary-in' type='checkbox' checked><label for='section-afaa7969-4f35-4f98-b534-8b8b9b0f1d75' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;c&#x27; &#x27;a&#x27;</div><input id='attrs-20be5323-8f81-48c7-8a27-a99768f48450' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20be5323-8f81-48c7-8a27-a99768f48450' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b31efe8e-eaa6-4de0-a1cb-9ce0eaa38101' class='xr-var-data-in' type='checkbox'><label for='data-b31efe8e-eaa6-4de0-a1cb-9ce0eaa38101' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;b&#x27;, &#x27;c&#x27;, &#x27;a&#x27;]], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ceb377c7-75a9-4add-8890-91ff525ea27a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ceb377c7-75a9-4add-8890-91ff525ea27a' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-65295cff-5e22-4208-9b67-f2aaf1898eea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65295cff-5e22-4208-9b67-f2aaf1898eea' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (query: 1, sample: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 0 0 1 1 0 0\n",
" distance (query, sample) float64 0.8 1.02 1.02\n",
" k (sample) int64 1 2 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) <U1 'b' 'c' 'a'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.vector.query([[0, 0.2, 0]], k=3)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Single point, specific neighbors returned"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (query: 1, sample: 2, embedding: 3)\n",
"Coordinates:\n",
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" distance (query, sample) float64 0.8 1.02\n",
" k (sample) int64 1 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) &lt;U1 &#x27;b&#x27; &#x27;a&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1562bf4a-2dd9-4721-a44e-b33c2d410626' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1562bf4a-2dd9-4721-a44e-b33c2d410626' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>query</span>: 1</li><li><span>sample</span>: 2</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dcc13d6d-b9b1-4a5f-9583-de2a54ae90a9' class='xr-section-summary-in' type='checkbox' checked><label for='section-dcc13d6d-b9b1-4a5f-9583-de2a54ae90a9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(query, sample, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 0 1 0 0</div><input id='attrs-100caa31-fde1-4fc5-9445-0ccb028ddaa4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-100caa31-fde1-4fc5-9445-0ccb028ddaa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a669efc-89ea-403c-9998-7edf5c23424c' class='xr-var-data-in' type='checkbox'><label for='data-7a669efc-89ea-403c-9998-7edf5c23424c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 1, 0],\n",
" [1, 0, 0]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 1.02</div><input id='attrs-813b0ba9-f6b8-4489-804b-ec95795d238b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-813b0ba9-f6b8-4489-804b-ec95795d238b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-834a8d52-5d9f-4d12-9e56-406e16110a00' class='xr-var-data-in' type='checkbox'><label for='data-834a8d52-5d9f-4d12-9e56-406e16110a00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.8 , 1.0198039]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 3</div><input id='attrs-972f6efd-0956-45f4-a391-eeae0dde534e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-972f6efd-0956-45f4-a391-eeae0dde534e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a213522-9ad7-4d66-90df-5d709a0b5bf9' class='xr-var-data-in' type='checkbox'><label for='data-7a213522-9ad7-4d66-90df-5d709a0b5bf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>query_vectors</span></div><div class='xr-var-dims'>(query, embedding)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2 0.0</div><input id='attrs-7d42246b-fae3-4404-bc43-864e2044dc86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d42246b-fae3-4404-bc43-864e2044dc86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1440c5c8-83c9-48f1-88e4-f2750e0b5e5e' class='xr-var-data-in' type='checkbox'><label for='data-1440c5c8-83c9-48f1-88e4-f2750e0b5e5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0. , 0.2, 0. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a99150c-251a-43d0-9aed-c88066f61f4d' class='xr-section-summary-in' type='checkbox' checked><label for='section-6a99150c-251a-43d0-9aed-c88066f61f4d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;a&#x27;</div><input id='attrs-2233fcb4-f484-4b50-8dbd-d517cf1bcd9b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2233fcb4-f484-4b50-8dbd-d517cf1bcd9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1e7f545-1566-4aa2-b105-6012c7a0b3f3' class='xr-var-data-in' type='checkbox'><label for='data-f1e7f545-1566-4aa2-b105-6012c7a0b3f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;b&#x27;, &#x27;a&#x27;]], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cec39383-3db1-470e-b444-bb08b05e74ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cec39383-3db1-470e-b444-bb08b05e74ef' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1d617757-d165-447a-a871-f8a3c7efabf7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d617757-d165-447a-a871-f8a3c7efabf7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (query: 1, sample: 2, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 1 0 0\n",
" distance (query, sample) float64 0.8 1.02\n",
" k (sample) int64 1 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) <U1 'b' 'a'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.vector.query([[0, 0.2, 0]], k=[1, 3])"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Query with multiple points, single nearest neighbor for each:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (query: 2, sample: 1, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 1 0 0\n",
" distance (query, sample) float64 0.8 0.5\n",
" k (sample) int64 1\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0 0.5 0.0 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) &lt;U1 &#x27;b&#x27; &#x27;a&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-857a3d55-1217-422e-82b4-bef91e52eced' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-857a3d55-1217-422e-82b4-bef91e52eced' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>query</span>: 2</li><li><span>sample</span>: 1</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c957d19-16e3-4024-9de6-8de6111dc5e5' class='xr-section-summary-in' type='checkbox' checked><label for='section-1c957d19-16e3-4024-9de6-8de6111dc5e5' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(query, sample, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 0 1 0 0</div><input id='attrs-70f30e56-b55d-49a7-8d97-6a7264414ff7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70f30e56-b55d-49a7-8d97-6a7264414ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71cc18e8-d4dd-40eb-8274-e980cc8826d0' class='xr-var-data-in' type='checkbox'><label for='data-71cc18e8-d4dd-40eb-8274-e980cc8826d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 1, 0]],\n",
"\n",
" [[1, 0, 0]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 0.5</div><input id='attrs-2bca990a-69e7-480f-9d86-0949c65e87f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bca990a-69e7-480f-9d86-0949c65e87f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-950ea1e2-d8f2-420d-be07-a25f5198adc6' class='xr-var-data-in' type='checkbox'><label for='data-950ea1e2-d8f2-420d-be07-a25f5198adc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.8],\n",
" [0.5]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-d7b62b8d-eb7f-43ac-b93c-1dab9a9d3b8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7b62b8d-eb7f-43ac-b93c-1dab9a9d3b8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89ca3d55-eb57-49d1-8770-ba726b5fc007' class='xr-var-data-in' type='checkbox'><label for='data-89ca3d55-eb57-49d1-8770-ba726b5fc007' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>query_vectors</span></div><div class='xr-var-dims'>(query, embedding)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2 0.0 0.5 0.0 0.0</div><input id='attrs-1c8db879-1206-4a21-8563-12e8a1f80dc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c8db879-1206-4a21-8563-12e8a1f80dc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8ae4d10-687d-4560-b2bc-37c643f8d69d' class='xr-var-data-in' type='checkbox'><label for='data-b8ae4d10-687d-4560-b2bc-37c643f8d69d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0. , 0.2, 0. ],\n",
" [0.5, 0. , 0. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b3411ab2-dedf-4102-a26f-50a0befe7615' class='xr-section-summary-in' type='checkbox' checked><label for='section-b3411ab2-dedf-4102-a26f-50a0befe7615' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;a&#x27;</div><input id='attrs-8e4d4fdc-f95e-45ad-bc43-3f359c84b691' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e4d4fdc-f95e-45ad-bc43-3f359c84b691' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09586a93-d3c4-4cb6-8465-7217e75c7f5b' class='xr-var-data-in' type='checkbox'><label for='data-09586a93-d3c4-4cb6-8465-7217e75c7f5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;b&#x27;],\n",
" [&#x27;a&#x27;]], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91733c95-7e26-4cf3-9b2e-04f22f543f0c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91733c95-7e26-4cf3-9b2e-04f22f543f0c' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3f9db3d0-98d7-4798-a296-8299c1ba1b11' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f9db3d0-98d7-4798-a296-8299c1ba1b11' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (query: 2, sample: 1, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 1 0 0\n",
" distance (query, sample) float64 0.8 0.5\n",
" k (sample) int64 1\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0 0.5 0.0 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) <U1 'b' 'a'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.vector.query(\n",
" [\n",
" [0, 0.2, 0],\n",
" [0.5, 0, 0],\n",
" ]\n",
")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Query with multiple points, 3 nearest neighbors for each:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (query: 2, sample: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 0 0 1 ... 0 0 1 0 1 0\n",
" distance (query, sample) float64 0.8 1.02 1.02 0.5 1.118 1.118\n",
" k (sample) int64 1 2 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0 0.5 0.0 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) &lt;U1 &#x27;b&#x27; &#x27;c&#x27; &#x27;a&#x27; &#x27;a&#x27; &#x27;c&#x27; &#x27;b&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-02236704-5497-4ad0-8f9c-98ec9eb38344' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02236704-5497-4ad0-8f9c-98ec9eb38344' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>query</span>: 2</li><li><span>sample</span>: 3</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b163fd24-21c9-4d18-945d-0b9ee2bbc67b' class='xr-section-summary-in' type='checkbox' checked><label for='section-b163fd24-21c9-4d18-945d-0b9ee2bbc67b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(query, sample, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 0 0 0 1 1 0 0 1 0 0 0 0 1 0 1 0</div><input id='attrs-813bc849-c1b2-4fcf-ade2-98ea36173dc1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-813bc849-c1b2-4fcf-ade2-98ea36173dc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c743f71d-4963-4ae3-a21f-c7e167c2e415' class='xr-var-data-in' type='checkbox'><label for='data-c743f71d-4963-4ae3-a21f-c7e167c2e415' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 1, 0],\n",
" [0, 0, 1],\n",
" [1, 0, 0]],\n",
"\n",
" [[1, 0, 0],\n",
" [0, 0, 1],\n",
" [0, 1, 0]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 1.02 1.02 0.5 1.118 1.118</div><input id='attrs-fd7fe827-8082-4319-80d0-919e0cb6c291' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd7fe827-8082-4319-80d0-919e0cb6c291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4d0c881-61b1-4157-9664-ff48961cee23' class='xr-var-data-in' type='checkbox'><label for='data-f4d0c881-61b1-4157-9664-ff48961cee23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.8 , 1.0198039 , 1.0198039 ],\n",
" [0.5 , 1.11803399, 1.11803399]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>k</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-b3958425-ef44-494f-a902-02b4883fa2e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3958425-ef44-494f-a902-02b4883fa2e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05971fd0-7777-4777-ad80-1c98f1c010e8' class='xr-var-data-in' type='checkbox'><label for='data-05971fd0-7777-4777-ad80-1c98f1c010e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>query_vectors</span></div><div class='xr-var-dims'>(query, embedding)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2 0.0 0.5 0.0 0.0</div><input id='attrs-a319f2b8-2cc9-43eb-998f-e6feaf42833d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a319f2b8-2cc9-43eb-998f-e6feaf42833d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c56da739-61c3-4e4e-9cbd-b542d355f0c1' class='xr-var-data-in' type='checkbox'><label for='data-c56da739-61c3-4e4e-9cbd-b542d355f0c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0. , 0.2, 0. ],\n",
" [0.5, 0. , 0. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e55b630-0b89-468c-a09f-22d041e44f12' class='xr-section-summary-in' type='checkbox' checked><label for='section-3e55b630-0b89-468c-a09f-22d041e44f12' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(query, sample)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;c&#x27; &#x27;a&#x27; &#x27;a&#x27; &#x27;c&#x27; &#x27;b&#x27;</div><input id='attrs-cb6e87e4-3ddc-4142-8b65-57bb6f3ae57d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb6e87e4-3ddc-4142-8b65-57bb6f3ae57d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97844c4a-21cd-463f-853a-0e035a1c85e8' class='xr-var-data-in' type='checkbox'><label for='data-97844c4a-21cd-463f-853a-0e035a1c85e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;b&#x27;, &#x27;c&#x27;, &#x27;a&#x27;],\n",
" [&#x27;a&#x27;, &#x27;c&#x27;, &#x27;b&#x27;]], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41aa5911-4a24-4324-a50e-eb824a3f60d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41aa5911-4a24-4324-a50e-eb824a3f60d9' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5a4075c2-48ce-4aa9-a984-1b7c719df083' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a4075c2-48ce-4aa9-a984-1b7c719df083' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (query: 2, sample: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, sample, embedding) int64 0 1 0 0 0 1 ... 0 0 1 0 1 0\n",
" distance (query, sample) float64 0.8 1.02 1.02 0.5 1.118 1.118\n",
" k (sample) int64 1 2 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0 0.5 0.0 0.0\n",
"Dimensions without coordinates: query, sample, embedding\n",
"Data variables:\n",
" documents (query, sample) <U1 'b' 'c' 'a' 'a' 'c' 'b'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result = ds.vector.query(\n",
" [\n",
" [0, 0.2, 0],\n",
" [0.5, 0, 0],\n",
" ],\n",
" k=3\n",
")\n",
"result"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"We could also use `k` as the dimension coordinate."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
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"\n",
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"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (query: 2, k: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, k, embedding) int64 0 1 0 0 0 1 1 0 ... 0 0 0 1 0 1 0\n",
" distance (query, k) float64 0.8 1.02 1.02 0.5 1.118 1.118\n",
" * k (k) int64 1 2 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0 0.5 0.0 0.0\n",
"Dimensions without coordinates: query, embedding\n",
"Data variables:\n",
" documents (query, k) &lt;U1 &#x27;b&#x27; &#x27;c&#x27; &#x27;a&#x27; &#x27;a&#x27; &#x27;c&#x27; &#x27;b&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8d4001e9-77a0-44a3-b019-bed9a5b3a6f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8d4001e9-77a0-44a3-b019-bed9a5b3a6f7' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>query</span>: 2</li><li><span class='xr-has-index'>k</span>: 3</li><li><span>embedding</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5938a602-e9bc-43d9-8616-233a22b192b7' class='xr-section-summary-in' type='checkbox' checked><label for='section-5938a602-e9bc-43d9-8616-233a22b192b7' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vectors</span></div><div class='xr-var-dims'>(query, k, embedding)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 0 0 0 1 1 0 0 1 0 0 0 0 1 0 1 0</div><input id='attrs-bb6d8b53-ebe1-4395-8d38-22d2e0b13efa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb6d8b53-ebe1-4395-8d38-22d2e0b13efa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a30d0fc2-2554-443d-a67f-f78584239181' class='xr-var-data-in' type='checkbox'><label for='data-a30d0fc2-2554-443d-a67f-f78584239181' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 1, 0],\n",
" [0, 0, 1],\n",
" [1, 0, 0]],\n",
"\n",
" [[1, 0, 0],\n",
" [0, 0, 1],\n",
" [0, 1, 0]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance</span></div><div class='xr-var-dims'>(query, k)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8 1.02 1.02 0.5 1.118 1.118</div><input id='attrs-75731e6e-67c6-4665-aecc-bec3b74a3c05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75731e6e-67c6-4665-aecc-bec3b74a3c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-251a1348-fe97-438b-9f7b-a158bdd7a260' class='xr-var-data-in' type='checkbox'><label for='data-251a1348-fe97-438b-9f7b-a158bdd7a260' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.8 , 1.0198039 , 1.0198039 ],\n",
" [0.5 , 1.11803399, 1.11803399]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>k</span></div><div class='xr-var-dims'>(k)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-530594f3-2acb-4661-a825-2fdadd3edfa7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-530594f3-2acb-4661-a825-2fdadd3edfa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed92bf5b-3f5f-4b4d-878b-67fedc42a24b' class='xr-var-data-in' type='checkbox'><label for='data-ed92bf5b-3f5f-4b4d-878b-67fedc42a24b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>query_vectors</span></div><div class='xr-var-dims'>(query, embedding)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2 0.0 0.5 0.0 0.0</div><input id='attrs-958c8412-c14e-4fb0-94f3-c03053d8d0bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-958c8412-c14e-4fb0-94f3-c03053d8d0bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92dd3ccb-6364-4b00-8847-f4f37df177c8' class='xr-var-data-in' type='checkbox'><label for='data-92dd3ccb-6364-4b00-8847-f4f37df177c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0. , 0.2, 0. ],\n",
" [0.5, 0. , 0. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70e4a5d5-1405-41fc-a54c-608721291f9d' class='xr-section-summary-in' type='checkbox' checked><label for='section-70e4a5d5-1405-41fc-a54c-608721291f9d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>documents</span></div><div class='xr-var-dims'>(query, k)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;c&#x27; &#x27;a&#x27; &#x27;a&#x27; &#x27;c&#x27; &#x27;b&#x27;</div><input id='attrs-0e332200-956a-4949-b081-4963e55ee19e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e332200-956a-4949-b081-4963e55ee19e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2b393fe-c0cf-478a-a625-3adb68f93319' class='xr-var-data-in' type='checkbox'><label for='data-d2b393fe-c0cf-478a-a625-3adb68f93319' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;b&#x27;, &#x27;c&#x27;, &#x27;a&#x27;],\n",
" [&#x27;a&#x27;, &#x27;c&#x27;, &#x27;b&#x27;]], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88fed81f-c2dc-4878-9716-42243af6147a' class='xr-section-summary-in' type='checkbox' ><label for='section-88fed81f-c2dc-4878-9716-42243af6147a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>k</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-75528940-cecb-4964-bccd-1b222a79d0b5' class='xr-index-data-in' type='checkbox'/><label for='index-75528940-cecb-4964-bccd-1b222a79d0b5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;k&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de062f1d-9e3a-4cc8-982e-15e8a047463b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de062f1d-9e3a-4cc8-982e-15e8a047463b' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (query: 2, k: 3, embedding: 3)\n",
"Coordinates:\n",
" vectors (query, k, embedding) int64 0 1 0 0 0 1 1 0 ... 0 0 0 1 0 1 0\n",
" distance (query, k) float64 0.8 1.02 1.02 0.5 1.118 1.118\n",
" * k (k) int64 1 2 3\n",
" query_vectors (query, embedding) float64 0.0 0.2 0.0 0.5 0.0 0.0\n",
"Dimensions without coordinates: query, embedding\n",
"Data variables:\n",
" documents (query, k) <U1 'b' 'c' 'a' 'a' 'c' 'b'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result.swap_dims({\"sample\": \"k\"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "xarray-tests",
"language": "python",
"name": "python3"
},
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"name": "ipython",
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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