A systematic literature review of Retrieval Augmented Generation (RAG) models, covering architectures, retrieval techniques, real world applications, performance improvements, emerging challenges, and future research directions across healthcare, education, finance, and enterprise AI.
How fast shahidazam2020-oss/A-Systematic-Literature-Review-of-Retrieval-Augmented-Generation-RAG-Models is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 29 – Nov 5, 2026
Stars +4in 8 days
01
1
Forks +0in 8 days
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Merged PRs 0in 8 days
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Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 29Oct 30Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Thu, Oct 29, 2026
+0
+0
0
Fri, Oct 30, 2026
+1
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0
Sat, Oct 31, 2026
+1
+0
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Sun, Nov 1, 2026
+0
+0
0
Mon, Nov 2, 2026
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+0
0
Tue, Nov 3, 2026
+1
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Wed, Nov 4, 2026
+1
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Thu, Nov 5, 2026
+0
+0
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Total
+4
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1#1 on the list
7Rank that day
Not trending
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