AI / RAG

Amazon Multimodal RAG Assistant

The README describes a RAG learning project for product text and image retrieval: CLIP embeddings, ChromaDB, FastAPI, and GPT or local models.

Public code / learning case / README-based description; not running on this site

README

Architecture reading map (based on repository description)

  1. 01Product text / image
  2. 02CLIP embeddings
  3. 03ChromaDB retrieval
  4. 04FastAPI endpoint
  5. 05LLM answer

What to study

  • RAG means Retrieval-Augmented Generation
  • Image and text vectors need one retrieval strategy
  • A demo project does not imply commercial integration or platform affiliation

Architecture review dimensions

  • Business problem: what user task does the README actually name?
  • Compute: which runtime boundary is stated, and which remains unknown?
  • Data: what source, retention, and evaluation evidence is public?
  • Network: what ingress, private access, or DNS claim is explicit versus absent?
  • Identity: where would RBAC, user isolation, and secrets be reviewed?
  • Observability and cost: what would need logs, alerts, budgets, and measured load before production?

Boundaries

No official Amazon affiliation is asserted; this site does not run the retrieval store or provide shopping or recommendation results.