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(EAI-1090) improve skills response #772

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Original file line number Diff line number Diff line change
Expand Up @@ -192,3 +192,98 @@
expectedLinks:
- https://learn.mongodb.com
- https://learn.mongodb.com/skills
- name: What skill badges are available?
tags:
- promote skills
messages:
- role: user
content: What skill badges are available?
reference: MongoDB offers a range of Skill Badges that you can explore on our
skills page. Currently this includes several badges on data modeling topics and
we're working to add more over time. We recommend starting with the "Relational
to Document Model" skill. From there you can explore other topics like "Schema
Design Patterns and Antipatterns", "Advanced Schema Patterns and Antipatterns",
and "Schema Design Optimization".
expectedLinks:
- https://learn.mongodb.com/skills
- name: What skills can I learn?
tags:
- promote skills
messages:
- role: user
content: What skills can I learn?
reference: MongoDB offers a range of Skill Badges that you can explore on our
skills page. Currently this includes several badges on data modeling topics and
we're working to add more over time. We recommend starting with the "Relational
to Document Model" skill. From there you can explore other topics like "Schema
Design Patterns and Antipatterns", "Advanced Schema Patterns and Antipatterns",
and "Schema Design Optimization".
expectedLinks:
- https://learn.mongodb.com/skills
- name: What should I take to learn about genAI?
tags:
- promote skills
messages:
- role: user
content: What should I take to learn about genAI?
reference: >-
To learn about Generative AI (GenAI) with MongoDB, you can pursue the following
learning paths and badges offered by MongoDB University: For a quick introduction
to GenAI, you can start with the "Gen AI" skills. There are short courses on
Vector Search Fundamentals and RAG with MongoDB that will provides a foundational
understanding of GenAI concepts and how they can be applied using MongoDB technologies.
For a more comprehensive learning experience, you can follow the two learning paths
designed specifically for building and deploying GenAI applications:
1. Building GenAI Apps Learning Badge Path: This path will guide you through the
foundations of building a GenAI application using MongoDB Atlas Vector Search.
You'll learn about semantic search and how to build chatbots with retrieval-augmented
generation (RAG) using MongoDB and Langchain.
2. Deploying and Evaluating GenAI Apps Learning Badge Path: This path focuses on
taking your GenAI application from creation to full deployment, optimizing performance,
and evaluating results. It covers chunking strategies, performance evaluation techniques,
and deployment options in MongoDB for both prototyping and production stages.
expectedLinks:
- https://learn.mongodb.com/skills?openTab=gen%20ai
- https://learn.mongodb.com/learning-paths/building-genai-apps-learning-badge-path
- https://learn.mongodb.com
- name: What should I take on MongoDB University to learn about genAI?
tags:
- promote skills
messages:
- role: user
content: What should I take on MongoDB University to learn about genAI?
reference: >-
To learn about Generative AI (GenAI) with MongoDB, you can pursue the following
learning paths and badges offered by MongoDB University: For a quick introduction
to GenAI, you can start with the "Gen AI" skills. There are short courses on
Vector Search Fundamentals and RAG with MongoDB that will provides a foundational
understanding of GenAI concepts and how they can be applied using MongoDB technologies.
For a more comprehensive learning experience, you can follow the two learning paths
designed specifically for building and deploying GenAI applications:
1. Building GenAI Apps Learning Badge Path: This path will guide you through the
foundations of building a GenAI application using MongoDB Atlas Vector Search.
You'll learn about semantic search and how to build chatbots with retrieval-augmented
generation (RAG) using MongoDB and Langchain.
2. Deploying and Evaluating GenAI Apps Learning Badge Path: This path focuses on
taking your GenAI application from creation to full deployment, optimizing performance,
and evaluating results. It covers chunking strategies, performance evaluation techniques,
and deployment options in MongoDB for both prototyping and production stages.
expectedLinks:
- https://learn.mongodb.com/skills?openTab=gen%20ai
- https://learn.mongodb.com/learning-paths/building-genai-apps-learning-badge-path
- https://learn.mongodb.com
- name: What is the fastest way to learn about genAI?
tags:
- promote skills
messages:
- role: user
content: What is the fastest way to learn about genAI?
reference: >-
For a quick introduction to GenAI, you can start with the "Gen AI" skills.
There are short courses on Vector Search Fundamentals and RAG with MongoDB
that will provides a foundational understanding of GenAI concepts and how they
can be applied using MongoDB technologies.
expectedLinks:
- https://learn.mongodb.com/skills?openTab=gen%20ai
- https://learn.mongodb.com/skills
- https://learn.mongodb.com
Original file line number Diff line number Diff line change
Expand Up @@ -418,14 +418,16 @@ export const initialWebSources: InitialWebSource[] = [
{
name: "university-skills",
urls: [
"https://learn.mongodb.com/skills",
"https://learn.mongodb.com/courses/relational-to-document-model",
"https://learn.mongodb.com/courses/schema-design-patterns-and-antipatterns",
"https://learn.mongodb.com/courses/advanced-schema-patterns-and-antipatterns",
"https://learn.mongodb.com/courses/schema-design-optimization",
"https://learn.mongodb.com/skills?openTab=data+modeling",
"https://learn.mongodb.com/skills?openTab=gen%20ai",
"https://learn.mongodb.com/skills?openTab=query",
"https://learn.mongodb.com/skills?openTab=aggregation",
"https://learn.mongodb.com/skills?openTab=security",
Comment on lines +422 to +425
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Did you re-run the eval after this change? I'm interested in the effect of pointing to the skills overview pages vs the individual course overviews

],
staticMetadata: {
tags: ["Skills", "MongoDB University"],
description:
"MongoDB Skill Badges are free, focused credentials designed to help you quickly learn and validate specific MongoDB skills. They are designed to be completed in 1-2 hours and can be earned by completing a short quiz or hands-on lab.",
},
},
];
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