In this course, you will explore advanced AI engineering concepts, focusing on the creation, use, and management of embeddings in vector databases, as well as their role in Retrieval-Augmented Generation (RAG).
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
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Gain insight into a topic and learn the fundamentals.
4.7
(23 reviews)
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand and Create Embedding
Utilize Vector Databases
Retrieval-Augmented Generation (RAG)
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
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.
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There are 3 modules in this course
In this module, you will cover setting up the environment, creating embeddings, and storing them in a vector database.
What's included
8 plugins
Now it's time to get to grips with search, querying, conversational AI, and chunking techniques for text processing.
What's included
9 plugins
What's included
1 assignment2 plugins
Instructor
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Recommended if you're interested in Machine Learning
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4.7
23 reviews
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Showing 3 of 23
VS
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?
MM
5
Reviewed on Oct 11, 2024
Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
GS
5
Reviewed on Dec 25, 2024
This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars
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