Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases
Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases
This course is part of AI Engineering Specialization
Instructor: Guil Hernandez
Access provided by Sanofi
4,990 already enrolled
4.9
(41 reviews)
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Understand and Create Embedding
Utilize Vector Databases
Retrieval-Augmented Generation (RAG)
Skills you'll gain
- Document Management
- Text Mining
- OpenAI
- Data Store
- Data Storage Technologies
- Generative AI
- Data Storage
- Database Development
- Databases
- Database Management
- Natural Language Processing
- Large Language Modeling
- Prompt Engineering
- Development Environment
- LLM Application
- Data Processing
- Semantic Web
- Artificial Intelligence
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the AI Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Learner reviews
4.9
41 reviews
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Showing 3 of 41
MM
5
Reviewed on Oct 11, 2024
GT
5
Reviewed on Jun 5, 2025
Course is well structured and provides required knowledge in just 3 hours.
VK
5
Reviewed on Mar 21, 2024
las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?
