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fix typo in deeplake.ipynb (#7718)

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- Fixing typos in deeplake documentation
- @baskaryan
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Lorenzo 2023-07-15 02:38:31 +09:00 committed by GitHub
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docs/extras/modules/data_connection/vectorstores/integrations/deeplake.ipynb
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@ -73,7 +73,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a dataset locally at `./deeplake/`, then run similiarity search. The Deeplake+LangChain integration uses Deep Lake datasets under the hood, so `dataset` and `vector store` are used interchangeably. To create a dataset in your own cloud, or in the Deep Lake storage, [adjust the path accordingly](https://docs.activeloop.ai/storage-and-credentials/storage-options)."
"Create a dataset locally at `./deeplake/`, then run similarity search. The Deeplake+LangChain integration uses Deep Lake datasets under the hood, so `dataset` and `vector store` are used interchangeably. To create a dataset in your own cloud, or in the Deep Lake storage, [adjust the path accordingly](https://docs.activeloop.ai/storage-and-credentials/storage-options)."
]
},
{
@ -126,7 +126,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Deep Lake, for now, is single writer and multiple reader. Setting `read_only=True` helps to avoid acquring the writer lock."
"Deep Lake, for now, is single writer and multiple reader. Setting `read_only=True` helps to avoid acquiring the writer lock."
]
},
{
@ -213,7 +213,7 @@
"metadata": {},
"source": [
"### Choosing distance function\n",
"Distance function `L2` for Euclidean, `L1` for Nuclear, `Max` l-infinity distnace, `cos` for cosine similarity, `dot` for dot product "
"Distance function `L2` for Euclidean, `L1` for Nuclear, `Max` l-infinity distance, `cos` for cosine similarity, `dot` for dot product "
]
},
{