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NavyDevilDoc/rag-advisor

12-question wizard that recommends an optimal RAG architecture (Standard / Graph / Agentic) with an AI-evaluated pipeline.

JavaScript MIT GitHub ↗
★ 0
stars
100
AI relevance
50
solo dev
1
tool sigs

SUMMARY AI summary by gpt-5-mini

RAG Architecture Advisor is a small full‑stack tool that guides developers/architects through a 12‑question wizard to recommend an optimal retrieval‑augmented generation (RAG) architecture (Standard Vector, Graph, or Agentic). It also provides deployment‑paradigm guidance and AI‑generated reasoning using the Anthropic API. Who uses it: engineers or solution architects evaluating RAG approaches for a specific use case. Key features: - 12‑question wizard that outputs architecture recommendation and rationale (Anthropic) - Deployment guidance and a single‑service deployment pattern - Frontend: Vite + React 18; Backend: FastAPI + Uvicorn + Anthropic Python SDK - Local dev scripts, Vite proxy for /api/*, and Railway deployment via railway.json - Docs and design notes in CLAUDE.md and build status in PROGRESS.md Prereqs: Node 18+, Python 3.11+, uv package manager, and an Anthropic API key.

AI Coding Tools Used

This repository contains config files from these AI coding tools, indicating AI-assisted development.

Claude Code CLAUDE.md

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
Anthropic
🤖 LLM models (1)
Claude
🌐 Web frameworks (2)
FastAPI React
☁️ Cloud platforms (1)
Railway

GitHub Topics

#anthropic-claude #fastapi #rag #react #retrieval-augmented-generation #vite

Language breakdown (by bytes)

HTML
2.2%
Python
12%
Dockerfile
0.7%
JavaScript
85.1%

Owner

Account
NavyDevilDoc
Type
User
Followers
2

Dates

Created on GitHub 2026-05-14
Last push 2026-05-14
First seen here 2026-05-14
Last fetched 2026-05-14 16:10

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