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Enhance Text Generation with RAG, LangChain, and Vertex AI

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use a LangChain "Chain" to orchestrate steps required to query a vector database and submit the results of the query to Gemini to obtain results based on a knowledge base. To do so, you embed a query submitted in a session in order to perform a nearest neighbor search on the vector store. Once results are retrieved, they are added as contextual information when querying a large language model (LLM), in this case, Gemini.

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What's inside

Syllabus

Enhance Text Generation with RAG, LangChain, and Vertex AI

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores the use of LangChain, RAG, and Vertex AI for enhancing text generation
Involves hands-on labs for practical experience
Provides a foundation for understanding the integration of vector databases, knowledge bases, and language models
May be suitable for individuals with experience in natural language processing, machine learning, or AI
Assumes familiarity with the Google Cloud platform and its services

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Enhance Text Generation with RAG, LangChain, and Vertex AI with these activities:
Understand the Purpose and Structures of the Course
Review the course syllabus and any introductory materials to gain a clear understanding of the course goals, structure, and expectations.
Show steps
  • Review the course syllabus and materials
  • Identify key learning objectives
  • Familiarize yourself with the course schedule and deadlines
Organize Course Notes and Materials
Organize and review your course notes, assignments, and materials to improve retention and understanding.
Show steps
  • Gather and sort all relevant course materials
  • Create a system for organizing and storing the materials
  • Review and highlight key concepts and ideas
Organize Study Group for Scalability Concepts
Reinforce knowledge and understanding through collaboration, peer support, and group discussions.
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  • Identify and Engage Interested Peers
  • Establish Regular Meeting Schedule
  • Assign Study Topics and Facilitate Discussions
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Attend Meetups Focused on Scalability
Enhance knowledge and networking opportunities by attending meetups and engaging with industry professionals in the field.
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Show steps
  • Identify Relevant Meetups
  • Attend and Participate Actively
Explore the Basics of RAG, LangChain, and Gemini
Follow guided tutorials and documentation to gain a solid understanding of the underlying concepts and functionalities of RAG, LangChain, and Gemini, which are crucial for the course.
Browse courses on RAG
Show steps
  • Access online tutorials and documentation
  • Follow step-by-step instructions
  • Complete practice exercises
Review Vector Database
Review and become comfortable navigating Vector Database before taking the course.
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  • Research and read articles online
  • Review tutorials or videos
  • Practice using a Vector Database tool or software
Participate in Workshops on Scalability Techniques
Gain hands-on experience through workshops, providing an environment to apply new knowledge and techniques.
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  • Research and Identify Workshops
  • Register and Participate Actively
Identify Web Scalable Architectures
Gain knowledge and an understanding of the architecture best practices for building scalable web applications.
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  • Explore Scalability Principles
  • Review Microservices Architecture
  • Research Load Balancing and Fault Tolerence
Practice Prompt Engineering for Text Generation
Practice writing effective prompts for text generation models to improve the quality and relevance of generated text.
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Show steps
  • Familiarize yourself with different prompt engineering techniques
  • Experiment with different prompts and observe the resulting text
  • Analyze the effectiveness of your prompts and make adjustments
Code Refactoring for Scalability
Enhance your programming skills and develop a strong foundation in code refactoring for scalability.
Show steps
  • Identify and Eliminate Code Duplication
  • Enhance Modular Code Design
  • Implement Unit Testing for Scalability
Build a Simple Text Generation Model
Get hands-on experience building a text generation model to reinforce concepts and techniques covered in the course.
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Show steps
  • Choose a dataset and preprocess the text
  • Train a simple text generation model using a library or framework
  • Evaluate the model's performance and make improvements
Attend Virtual Meetups and Conferences on NLP and AI
Connect with professionals in the field of NLP and AI by attending virtual meetups and conferences. This will provide opportunities to learn from experts, share knowledge, and expand your network.
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Show steps
  • Research upcoming virtual events
  • Register and attend the events
  • Engage in discussions and ask questions
  • Follow up with new connections
Design and Implement a Scalable Web Application
Demonstrate knowledge, understanding, and ability to develop a scalable web application with sound architectural principles.
Show steps
  • Define Scalability Goals
  • Choose Technologies and Architectures
  • Design and Implement the Application
  • Conduct Performance Testing and Optimization
Write a Blog Post on LangChain and Gemini
Create a blog post to summarize and explain the concepts of LangChain and Gemini, reinforcing your understanding and potentially benefiting others.
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Show steps
  • Research and gather information about LangChain and Gemini
  • Organize your thoughts and outline the blog post
  • Write the blog post, paying attention to clarity and conciseness
  • Publish and share your blog post
Present on Best Practices for Designing Scalable Web Applications
Develop presentation skills while sharing what you've learned by giving a presentation based on the completion of the course.
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  • Prepare Presentation Outline
  • Gather Relevant Materials and Sources
  • Practice and Refine Presentation
Develop a Mini-Project Using the Course Concepts
Apply your knowledge by creating a small-scale project that leverages the concepts of RAG, LangChain, and Gemini. This hands-on experience will reinforce your understanding and demonstrate your skills.
Browse courses on RAG
Show steps
  • Define the project scope and objectives
  • Design and implement the project
  • Test and evaluate the project
  • Prepare a project report
Contribute to the RAG, LangChain, or Gemini Open-Source Communities
Engage with the larger tech community by contributing to open-source projects related to RAG, LangChain, or Gemini. This will not only enhance your skills but also give you valuable real-world experience.
Browse courses on RAG
Show steps
  • Identify potential contribution opportunities
  • Submit bug reports or feature requests
  • Contribute code or documentation changes
  • Participate in community discussions

Career center

Learners who complete Enhance Text Generation with RAG, LangChain, and Vertex AI will develop knowledge and skills that may be useful to these careers:

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Course image
Effort
90 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 26, 2024 - September 9, 2024
Language
English
Good to know
Explores the use of LangChain, RAG, and Vertex AI for enhancing text generation
Involves hands-on labs for practical experience
Provides a foundation for understanding the integration of vector databases, knowledge bases, and language models
May be suitable for individuals with experience in natural language processing, machine learning, or AI
Assumes familiarity with the Google Cloud platform and its services
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