RAG (Retrieval)

Name: RAG (Retrieval)
Price: 9 USD
Availability: InStock

4h 33m 19s

English

Paid

June 8, 2025

Study the key principles of developing Retrieval-Augmented Generation (RAG) systems and the application of advanced search techniques to improve the performance of artificial intelligence. As part of the course, you will master the integration of RAG into AI applications, optimization of information retrieval and answer generation processes, and learn to apply advanced machine learning technologies to enhance the accuracy and efficiency of intelligent systems.

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#	Title	Duration
1	1.1 Intro	09:32
2	1.2 RAG Overview	12:58
3	1.3 Code Setup	08:39
4	1.4 Embeddings	12:08
5	1.5 Vector Databases	20:42
6	1.6 Similarity Search	08:12
7	2.1 Intro	08:38
8	2.2 Vector DB Setup	19:07
9	2.3 Generating Embeddings	12:35
10	2.4 Uploading Data	08:05
11	2.5 Basic Retrieval	11:57
12	2.6 Query Optimization	09:41
13	2.7 Document Reranking	10:59
14	2.8 Metadata Filtering	11:03
15	2.9 Text Splitting	08:36
16	2.10 All Together	09:27
17	2.11 RAG Prompting	12:44
18	3.1 Project Intro	09:19
19	3.2 Initialize Code	06:50
20	3.3 Setup Vector DB	12:03
21	3.4 Build RAG Pipeline	27:48
22	3.5 Connect Frontend	22:16