Google Cloud
Enhance Text Generation with RAG, LangChain, and Vertex AI
Google Cloud

Enhance Text Generation with RAG, LangChain, and Vertex AI

Taught in English

Included with Coursera Plus

Project

Build in-demand job skills with step-by-step instructions

Intermediate level
Some related experience required
90 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Leverage Gemini python SDK to generate content without LangChain. Prepare a private knowledge base using DocArray to index embeddings of documents

  • Generate embeddings with Gemini.Use Gemini's embedding-001 model to create representations of text as vector data.Create query-based retrieval system

  • Implement RAG with Gemini: Provide relevant context with a query submitted to a LLM, in this case, the gemini-pro model to enhance generated results

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Recently updated!

May 2024

Project

Build in-demand job skills with step-by-step instructions

Intermediate level
Some related experience required
90 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
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About this project

Instructor

Google Cloud Training
Google Cloud
1,397 Courses2,574,113 learners

Offered by

Google Cloud

How you'll learn

  • Hands-on, project-based learning

    Practice new skills by completing job-related tasks with step-by-step instructions.

  • No downloads or installation required

    Access the tools and resources you need in a cloud environment.

  • Available only on desktop

    This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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