Perch

Description coming soon!

Features

RAG-powered policy generation: Retrieves relevant docs from a vector database to supplement user queries and reduce hallucinations in responses
LLM integration: Uses Gemini for natural language reasoning
Frontend: Next.js, Tailwind CSS, deployed with Vercel
Backend: FastAPI, deployed with Railway
NextAuth.js for user authentication + Supabase for user database

Name		Name	Last commit message	Last commit date
Latest commit History 146 Commits
app		app
.gitignore		.gitignore
.python-version		.python-version
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
README.md		README.md
__init__.py		__init__.py
app_api.py		app_api.py
perch.py		perch.py
railway.json		railway.json
render.yaml		render.yaml
requirements.txt		requirements.txt
vercel.json		vercel.json

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