Full-Stack RAG: Train, Deploy Infra, Launch Frontend

Scenario

A team trains custom embedding models and fine-tunes LLMs on PAI, builds hybrid vector+BM25 retrieval with OpenSearch/Elasticsearch, provisions reproducible ECS/RDS/OpenSearch infrastructure via Terraform, then deploys both the RAG backend and a polished chatbot frontend on Vercel — delivering a complete production-ready custom RAG application from model training to end-user web interface.

How the products combine

1. bailian · custom-rag-pipeline-train-embeddings-to-deploy-a-956ae5 — Custom RAG Pipeline: Train Embeddings to Deploy Application

See _combos/custom-rag-pipeline-train-embeddings-to-deploy-a-956ae5.

2. bailian · custom-rag-train-embeddings-to-production-app-9bbc6d — Custom RAG: Train Embeddings to Production App

See _combos/custom-rag-train-embeddings-to-production-app-9bbc6d.

3. alinux · full-stack-custom-rag-train-to-production-e68446 — Full-Stack Custom RAG: Train to Production

See _combos/full-stack-custom-rag-train-to-production-e68446.

4. alinux · custom-rag-pipeline-with-deployed-frontend-ba57d2 — Custom RAG Pipeline with Deployed Frontend

See _combos/custom-rag-pipeline-with-deployed-frontend-ba57d2.

Typical questions

• train custom embeddings and deploy chatbot with infrastructure as code
• PAI model training to Vercel frontend with Terraform infra
• end-to-end RAG from model training to production web app
• full stack custom RAG with hybrid search and deployed frontend
• 从PAI模型训练到Vercel前端上线含Terraform基础设施
• 训练嵌入模型加混合检索加前端部署完整链路
• custom RAG pipeline with IaC and web deployment
• build complete RAG app train tune deploy with Terraform

Q: How do I build an end-to-end custom RAG application from model training to a deployed Vercel frontend? A: This workflow delivers a complete production-ready custom RAG application by training embeddings on PAI, provisioning reproducible infrastructure via Terraform, and deploying the backend and chatbot frontend on Vercel. The pipeline supports hybrid vector and BM25 retrieval using OpenSearch or Elasticsearch and is implemented through predefined cross-product skill combos.