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DOCSP-43494-copilot-docs-command #96

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69 changes: 69 additions & 0 deletions source/copilot-docs.txt
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@@ -0,0 +1,69 @@
.. _vsce-copilot-docs:

==============
/docs Command
==============

.. default-domain:: mongodb

.. contents:: On this page
:local:
:backlinks: none
:depth: 1
:class: singlecol

The ``/docs`` command provides MongoDB-specific information,
supplemented by links to MongoDB Documentation. The |copilot| is
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Could we change the second sentence to something like:

For the docs command, the underlying model of the MongoDB Copilot Extension leverages Retrieval-Augmented Generation (RAG) to ensure responses are based on the latest version of MongoDB Documentation.

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Done!

knowledgeable of the latest MongoDB Documentation and uses the
MongoDB Docs Chatbot API to link to information in addition to
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Suggested change
MongoDB Docs Chatbot API to link to information in addition to
MongoDB Docs Chatbot to link to information in addition to

I don't believe the API is intended for use outside of our use cases; we don't want folks using it at the moment. Maybe we can leave the API part out so folks don't get ideas?

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Removed the mention of the API!

the text response.

Example
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Is it possible to add a second example here where the docs command recommends a DDP product like vector search or search in the context of "how do I improve the searching speed for query" and it responds with search/vector search recommendation? For vector search we might have to ask something like 'semantic search' in the prompt. This way users know that it can also be leveraged for performance-related questions.

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Added a second example that recommends Atlas Vector Search!

-------

The following prompt asks for information on creating an
index in the GitHub Copilot chat:

.. code-block:: none
:copyable: false

@MongoDB /docs how do I create an index?

The chat first provides the following MongoDB documentation:

- `Create an Index <https://www.mongodb.com/docs/manual/core/indexes/create-index/>`__
- `createIndexes <https://mongodb.com/docs/manual/reference/command/createIndexes/>`__
- `Getting Started with MongoDB and Java - CRUD Operations Tutorial <https://www.mongodb.com/developer/languages/java/java-setup-crud-operations>`__
- `db.collection.createIndex() <https://mongodb.com/docs/manual/reference/method/db.collection.createIndex/>`__

The |copilot| also returns a text response with information about
creating an index:

.. code-block:: none
:copyable: false

To create an index in MongoDB, you can use the createIndex() method
in the MongoDB Shell or the equivalent method for your specific
driver. Here are examples for different programming languages:

MongoDB Shell

db.collection.createIndex({ <key and index type specification> }, { <options> })

C#

collection.CreateIndex(IndexKeys<collection>.<key and index type
specification>, <options>);

...

Indexes support efficient execution of queries in MongoDB. If your
application is repeatedly running queries on the same fields,
creating an index on those fields can significantly improve
performance. However, keep in mind that while indexes improve query

Check failure on line 63 in source/copilot-docs.txt

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GitHub Actions / TDBX Vale rules 

[vale] reported by reviewdog 🐶
[MongoDB.ConciseTerms] 'remember' is preferred over 'keep in mind'.

Raw Output:
{"message": "[MongoDB.ConciseTerms] 'remember' is preferred over 'keep in mind'.", "location": {"path": "source/copilot-docs.txt", "range": {"start": {"line": 63, "column": 26}}}, "severity": "ERROR"}
performance, they can negatively impact write operations due to the
additional overhead of maintaining the index.

Check failure on line 65 in source/copilot-docs.txt

View workflow job for this annotation

GitHub Actions / TDBX Vale rules 

[vale] reported by reviewdog 🐶
[MongoDB.ConciseTerms] 'more' is preferred over 'additional'.

Raw Output:
{"message": "[MongoDB.ConciseTerms] 'more' is preferred over 'additional'.", "location": {"path": "source/copilot-docs.txt", "range": {"start": {"line": 65, "column": 4}}}, "severity": "ERROR"}

.. figure:: /images/copilot-docs.png
:figwidth: 700px
:alt: Screenshot of copilot providing information on creating an index
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I'm not sure we need the screenshot here, if it's just showing what we've described above?

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I'll check in with Garaub about this one - he originally asked for screenshots on the /query page to illustrate the UI

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Sounds good - happy to leave in if it's a PM request :)

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@GaurabAryal do you have preference here?

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Yeah i think since this is such a new product, it is better to have the visuals in the docs. Let's keep it for now.

16 changes: 8 additions & 8 deletions source/copilot-query.txt
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Expand Up @@ -31,7 +31,7 @@ Consider the ``users`` collection in the `Mflix Sample Database
<https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.users>`__.
Each document in the collection has the following structure:

.. code-block:: javascript
.. code-block:: none
:copyable: false

{
Expand All @@ -48,7 +48,7 @@ collection, you can ask the GitHub Copilot chat to generate a query that
finds the document in the ``users`` collection that has the ``name``
value of ``Kayden Washington``.

.. code-block:: javascript
.. code-block:: none
:copyable: false

@MongoDB /query In the sample_mflix database, find a document in the
Expand All @@ -57,7 +57,7 @@ value of ``Kayden Washington``.
The GitHub Copilot Chat uses the |copilot| to
generate the following query using knowledge of your database schema:

.. code-block:: javascript
.. code-block:: none

use(`sample_mflix`);
db.getCollection('users').findOne({ name: 'Kayden Washington' });
Expand All @@ -77,7 +77,7 @@ the ``users`` collection in the `Mflix Sample Database
<https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.users>`__.
Each document in the collection has the following structure:

.. code-block:: javascript
.. code-block:: none
:copyable: false

{
Expand All @@ -92,7 +92,7 @@ Each document in the collection has the following structure:
Once you connect to the deployment that contains the ``users``
collection, you can ask the GitHub Copilot chat to generate an aggregation pipeline.

.. code-block:: javascript
.. code-block:: none
:copyable: false

@MongoDB /query Generate an aggregation pipeline on the users
Expand All @@ -101,7 +101,7 @@ collection, you can ask the GitHub Copilot chat to generate an aggregation pipel

The |copilot| generates the following aggregation pipeline:

.. code-block:: javascript
.. code-block:: none

use('sample_mflix');
db.getCollection('users').aggregate([
Expand All @@ -118,7 +118,7 @@ directly or open the pipeline in a playground.

You can also iteratively build on your aggregation pipeline:

.. code-block:: javascript
.. code-block:: none
:copyable: false

@MongoDB /query Add a stage to my pipeline that adds a username field
Expand All @@ -127,7 +127,7 @@ You can also iteratively build on your aggregation pipeline:

The |copilot| returns the following aggregation pipeline:

.. code-block:: javascript
.. code-block:: none

use('sample_mflix');
db.getCollection('users').aggregate([
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7 changes: 7 additions & 0 deletions source/copilot.txt
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Expand Up @@ -32,10 +32,17 @@ Commands
The ``/query`` command assists in generating queries from a natural
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A bit above this, in the paragraph before, we have written:

Through GitHub Copilot's chat feature, users with |vsce| can interact
with their MongoDB clusters and generate code with MongoDB
domain-specific knowledge on top of GitHub Copilot's LLM.

Should we add something about the MongoDB documentation chatbot there as well?

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For the sake of simplicity, I would recommend only mentioning the documentation chatbot on the /docs page

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I did add a mention of learning about MongoDB in this section (referring to the /docs command)

language against a connected MongoDB cluster.

:ref:`/docs <vsce-copilot-docs>`
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The ``/docs`` command provides links to MongoDB documentation to
supplement generated information.

.. toctree::
:titlesonly:

/query </copilot-query>
/docs </copilot-docs>
AI & Data Usage </ai-data-usage>


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