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
View on GitHub