Valentin AIL (RAG App)
Full-stack RAG application. FastAPI + Next.js App Router, LLM orchestration, vector search, TaskIQ background agents, and real-time UX.
Project Overview
A production AI / RAG application combining a FastAPI backend with a Next.js App Router frontend: retrieval-augmented generation, LLM orchestration, background agents, and real-time UX.
About The Project
Valentin AIL is a production-grade AI application built around retrieval-augmented generation (RAG). The backend is a Python + FastAPI service that handles LLM orchestration, vector search, and document ingestion, with TaskIQ workers and schedulers running background agents and long-lived jobs against PostgreSQL and Redis. The frontend is a Next.js App Router + TypeScript app that streams updates to the user in real time via SWR and event-driven patterns, authenticated through NextAuth.js. Everything runs in reproducible Docker Compose environments locally and in production, with GitHub Actions CI/CD and n8n integrations for automated workflows. The architecture is service-layered and extensible, built to grow with new LLMs, new tools, and new agent capabilities.
Technology Stack
Build Reliable AI Workflows with Valentin AIL
Explore a production-ready AI application architecture with FastAPI, Next.js, background workers, and real-time UX patterns.
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