DaaS / Products / Trained RAG with Lightweight Edge Generation

Trained RAG with Lightweight Edge Generation

Train domain-specific embedding models and fine-tune LLMs on PAI, build a hybrid BM25+vector retrieval pipeline across OpenSearch and Elasticsearch, then deploy the generative model on Alibaba Cloud Linux behind a Cloudflare Worker edge proxy for low-latency global RAG serving.

Products involved

Scenario

Train domain-specific embedding models and fine-tune LLMs on PAI, build a hybrid BM25+vector retrieval pipeline across OpenSearch and Elasticsearch, then deploy the generative model on Alibaba Cloud Linux behind a Cloudflare Worker edge proxy for low-latency global RAG serving.

How the products combine

  1. alinux+alinux+cloudflare+opensearch+pai+alinux+alinux+cloudflare+opensearch+pai+alinux+cloudflare+bailian+es+es+opensearch+oss+oss+pai+opensearch+alinux+cloudflare+opensearch · lightweight-rag-with-edge-served-generation-290f9c — Lightweight RAG with Edge-Served Generation
  2. See _combos/lightweight-rag-with-edge-served-generation-290f9c.

  3. alinux+bailian+alinux+bailian+alinux+pai+bailian+bailian+es+es+opensearch+oss+oss+pai+es+opensearch+oss+oss+pai+bailian+es+es+opensearch+oss+oss+pai+bailian+pai+bailian+pai+es+alinux+bailian+bailian+pai+es+opensearch+es+opensearch+alinux+oss+rds+alinux+oss+rds+ecs+oss+terraform+ecs+rds+terraform+alinux+rds+ecs+oss+terraform+alinux+rds+es+opensearch+oss+es+rds+es+supabase+bailian+es+es+opensearch+oss+oss+pai+es+rds+terraform+es+vercel+alinux+pai+bailian+es+es+opensearch+oss+oss+pai+bailian+pai+bailian+pai+bailian+es+es+opensearch+oss+oss+pai+es+opensearch+oss+es+oss+pai · full-stack-custom-rag-train-to-production-e68446 — Full-Stack Custom RAG: Train to Production
  4. See _combos/full-stack-custom-rag-train-to-production-e68446.

  5. airec+alinux+airec+opensearch+alinux+alinux+cloudflare+opensearch+pai+alinux+cloudflare+bailian+es+es+opensearch+oss+oss+pai+opensearch+alinux+es+airec+opensearch+alinux+alinux+cloudflare+opensearch+pai+alinux+cloudflare+bailian+es+es+opensearch+oss+oss+pai+opensearch+alinux+bailian+alinux+bailian+alinux+pai+bailian+bailian+es+es+opensearch+oss+oss+pai+es+opensearch+oss+oss+pai+bailian+es+es+opensearch+oss+oss+pai+bailian+pai+bailian+pai+es+alinux+bailian+bailian+pai+es+opensearch+es+opensearch+alinux+oss+rds+alinux+oss+rds+ecs+oss+terraform+ecs+rds+terraform+alinux+rds+ecs+oss+terraform+alinux+rds+es+opensearch+oss+es+rds+es+supabase+bailian+es+es+opensearch+oss+oss+pai+es+rds+terraform+es+vercel+alinux+pai+bailian+es+es+opensearch+oss+oss+pai+bailian+pai+bailian+pai+bailian+es+es+opensearch+oss+oss+pai+es+opensearch+oss+es+oss+pai · full-stack-rag-with-edge-served-global-inference-125949 — Full-Stack RAG with Edge-Served Global Inference
  6. See _combos/full-stack-rag-with-edge-served-global-inference-125949.

  7. alinux+alinux+cloudflare+opensearch+pai+alinux+cloudflare+bailian+es+es+opensearch+oss+oss+pai+opensearch · production-rag-with-edge-served-inference-a4f07c — Production RAG with Edge-Served Inference
  8. See _combos/production-rag-with-edge-served-inference-a4f07c.

Typical questions

FAQ

Q: How do I train custom RAG components and deploy them at the edge using Cloudflare? A: You train domain-specific embedding models and fine-tune LLMs on PAI, then deploy the generative model on Alibaba Cloud Linux behind a Cloudflare Worker edge proxy for low-latency global RAG serving. The workflow also involves building a hybrid BM25+vector retrieval pipeline across OpenSearch and Elasticsearch to handle document retrieval.