karthikreddy-7/ai-engineering-playbook
A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.
62
Stars
17
Forks
37.3
Radar Score
Rising
Momentum
Scoring Breakdown
Impact22.6
Velocity46.2
Health48.1
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
MDX
Why it ranks
Steady growth — consistently collecting stars and contributors.
RAG · vector databaseTop 66% globally