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datawhalechina/all-in-rag

stable

🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/

aideepseekembeddingkimi-k2langchainllama-indexllmmilvus
Velocity score
3.87/ 10
[STARS]
7.1k
[FORKS]
3.5k
[CONTRIBUTORS]
9
[LAST_COMMIT]
8d ago
OPEN_ON_GITHUB
Velocity class: stable
30-day stars
3.87/ 10 score
last 33d
[SIGNAL_TRACE / 33_PT]
Score breakdown
814/ 1000
rag · datawhalechina/all-in-rag
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
992
[INSTALL_VEL]
497
[ACTIVITY]
933
[COMMUNITY_SIGNAL]
586

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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