DOCSP-43493 Melissa comments

Author: ltran-mdb2

snooty.toml

@@ -41,7 +41,7 @@ cifs = ":abbr:`CIFS (Common Internet File System)`"
 cps = ":abbr:`CPS (Cloud Provider Snapshots)`"
 cmk = ":abbr:`CMK (customer master key)`"
 compass = "MongoDB Compass"
-copilot = "MongoDB Github Copilot Participant"
+copilot = "MongoDB GitHub Copilot Participant"
 data-lakes = "Data Lakes"
 data-lake = "Data Lake"
 datadog = "`Datadog <https://www.datadoghq.com/>`__"

source/ai-data-usage.txt

@@ -9,20 +9,21 @@ AI and Data Usage Information
    :backlinks: none
    :depth: 1
 
-The MongoDB Github Copilot Participant is powered by Generative AI (Gen
-AI), and may give inaccurate responses. See our `Generative AI FAQ
+The |copilot| is powered by Generative AI (Gen AI), and may give
+inaccurate responses. See our `Generative AI FAQ
 <https://dochub.mongodb.org/core/faq-ai-features>`__ for more
 information about Gen AI in MongoDB products.
 
 Third Party Providers
 ---------------------
 
-The MongoDB Github Copilot Participant is powered by `Github Copilot <https://github.com/features/copilot>`__.
+The |copilot| is powered by `GitHub Copilot
+<https://github.com/features/copilot>`__ and the MongoDB Docs Chatbot. 
 
 How Your Data is Used
 ---------------------
 
-When you use the MongoDB Github Copilot Participant, the following
+When you use the |copilot| , the following
 information is sent to MongoDB's backend and/or the third party AI
 provider: 
 

source/copilot-query.txt

@@ -14,7 +14,7 @@
 
 The ``/query`` command assists in generating queries from a natural
 language against a connected MongoDB cluster. The |copilot| provides
-underlying schema information of the relevant collections to Github
+underlying schema information of the relevant collections to GitHub
 Copilot to generate a response. If you do not specify a collection in
 your prompt, the chat prompts you to select a relevant collection. 
 
@@ -44,7 +44,7 @@ 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 a query that
+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``. 
 
@@ -54,7 +54,7 @@ value of ``Kayden Washington``.
    @MongoDB /query In the sample_mflix database, find a document in the
    users collection with the name of Kayden Washington.
 
-The Github Copilot Chat uses the |copilot| to
+The GitHub Copilot Chat uses the |copilot| to
 generate the following query using knowledge of your database schema:
 
 .. code-block:: javascript
@@ -90,7 +90,7 @@ 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. 
+collection, you can ask the GitHub Copilot chat to generate an aggregation pipeline. 
 
 .. code-block:: javascript
    :copyable: false

source/copilot.txt

@@ -12,11 +12,11 @@
    :depth: 1
    :class: singlecol
 
-|vsce-full| includes the |copilot| to assist in using `Github Copilot
+|vsce-full| includes the |copilot| to assist in using `GitHub Copilot
 <https://github.com/features/copilot>`__ with your MongoDB deployments.
-Through Github Copilot's chat feature, users with |vsce| can interact
+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. The |copilot
+domain-specific knowledge on top of GitHub Copilot's LLM. The |copilot
 can also answer questions about your database collection schema and
 provide links to specific MongoDB documentation.