Home AI Courses Retrieval Augmented Generation (RAG) - Intro

Retrieval Augmented Generation (RAG) - Intro

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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

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Description for Retrieval Augmented Generation (RAG) - Intro

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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