Communities:
RAG and AI Agent Developers
| # | Tweet | Community | Topic | Views ▼ | Ratio | Engagement | Posted |
|---|---|---|---|---|---|---|---|
| 1 | [image] Most people think RAG = embeddings + vector DB + LLM.
In production, it becomes a full distributed system.
Core architecture:
API Gateway (auth, rate limiting)
Query orchestration layer
Hybrid retrieval (vector + BM25)
Reranking (cross-encoder)
LLM generation with citations | RAG and AI Agent Developers | — | 72 | 0.8x | 6 | Oct 5 |