ai-recommending
Build an AI recommendation engine using DSPy. The core pattern is two-stage - embedding-based retrieval to get candidate items, then an LM re-ranker that personalizes the ranking using user profile signals and generates human-readable explanations.
Step 1 - Understand the recommendation task
Before writing code, clarify:
- What items are you recommending? Products, articles, support docs, videos, playlists?
- What signals do you have? Purchase history, click hist
[Description truncada. Veja o README completo no GitHub.]