Python · CC0-1.0
Yigtwxx/awesome-rag-production
A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.
★ 290
Stars
77 forks · 1 open issues
+4.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
29.5
Momentum / 100
see the breakdown below
10mo ago
Created
last push 3d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.8 | +4.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 3.6 | last week ran 1.24× the monthly pace |
| Freshness | 15 | 15.0 | last push 3d ago; decays to zero at 180 days |
| Scale | 15 | 7.1 | 290 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 29.5 | sum of the above |
Detail
| Topics | aiai-engineeringartificial-intelligenceawesomeawesome-listcurated-listembeddingsgenerative-ailangchainlarge-language-modelslistllmllmopsmachine-learningmlopsproductionpythonragretrieval-augmented-generationvector-database |
| Matched on | RAG (embeddings, retrieval-augmented-generation, vector-database) LLM & Inference (large-language-models) |
| Short window | +4 stars over 7 days = 0.6/day |
| Long window | +12 stars over 26 days = 0.5/day |
| Lifetime average | 0.90 stars/day over 321 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |