Intro to Retrieval Augmented Generation (RAG)

Intro to Retrieval Augmented Generation (RAG)

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Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

Key AI Functions:Python Programming,Machine Learning,Retrieval Augmented Generation,Large Language Models

Description for Intro to Retrieval Augmented Generation (RAG)

Features of Course

  • Learn to import data into Pandas and generate embeddings using SentenceTransformers.
  • Construct a retrieval augmented generation (RAG) system using your data, Qdrant, and LLMs like OpenAI or Llamafile.
  • Develop practical skills in building a generative AI application by creating an end-to-end RAG system.
  • Utilize open-source tools to implement the project-based course and enhance your understanding of generative AI.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Duke University

    Duration: 2 hours

    Schedule: Project- based

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