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Initial commit of PGVector documentation #5380

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afc769b
Initial commit of PGVector documentation
xenophenes Jan 13, 2025
700ce3c
Minor typo fixes for MongoDB's docs
xenophenes Jan 13, 2025
9167715
Address feedback: fix dangling code, add comments, rephrase sentence
xenophenes Jan 13, 2025
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8 changes: 4 additions & 4 deletions docs/source/integrations/mongodb.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -167,7 +167,7 @@ To use the MongoDB backend, simply set the optional `backend` parameter of

fob.compute_similarity(..., backend="mongodb", ...)

Alternatively, you can permanently configure FiftyOne to use the MonogDB
Alternatively, you can permanently configure FiftyOne to use the MongoDB
backend by setting the following environment variable:

.. code-block:: shell
Expand Down Expand Up @@ -459,10 +459,10 @@ You can use
:meth:`add_to_index() <fiftyone.brain.similarity.SimilarityIndex.add_to_index>`
and
:meth:`remove_from_index() <fiftyone.brain.similarity.SimilarityIndex.remove_from_index>`
to add and remove embeddings from an existing Mongodb index.
to add and remove embeddings from an existing MongoDB index.

These methods can come in handy if you modify your FiftyOne dataset and need
to update the Mongodb index to reflect these changes:
to update the MongoDB index to reflect these changes:

.. code:: python
:linenos:
Expand Down Expand Up @@ -510,7 +510,7 @@ Retrieve embeddings from an index

You can use
:meth:`get_embeddings() <fiftyone.brain.similarity.SimilarityIndex.get_embeddings>`
to retrieve embeddings from a Mongodb index by ID:
to retrieve embeddings from a MongoDB index by ID:

.. code:: python
:linenos:
Expand Down
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