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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero02KApr 26Nov 4, 2026BaseModelAI/cleoraNirDiamant/RAG_Techniques
Stars: The star count at the end of each dayStarsThe star count at the end of each day020KApr 26Nov 4, 2026BaseModelAI/cleoraNirDiamant/RAG_Techniques

Facts

FactBaseModelAI/cleora

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

NirDiamant/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Stars54630,227
Net stars, last 30 days+1+592
Largest star day+2 on Sep 8, 2026+68 on Oct 29, 2026
Milestone reached in the recordNoneNone
Forks583,700
LanguageJupyter NotebookJupyter Notebook
LicenseOther licenseOther license
CreatedNov 5, 2020Jul 13, 2024
Last pushApr 2, 2026Nov 2, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases2 of 3 checks (1 without data)1 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeksNo data35
Weeks with commits, last 52No data29 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: ai, embeddings, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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