An enterprise migrates legacy on-premises databases and infrastructure to Alibaba Cloud using Terraform-provisioned ECS/RDS/OceanBase with OSS staging, then builds a unified document intelligence pipeline that OCRs scanned records via Bailian, dual-indexes extracted content into Elasticsearch and OpenSearch for both keyword and semantic RAG retrieval, and finally layers AIRec-powered personalized recommendations on top—giving employees a single portal to search structured DB records, query scanned documents with natural language, and receive context-aware document suggestions.
An enterprise migrates legacy on-premises databases and infrastructure to Alibaba Cloud using Terraform-provisioned ECS/RDS/OceanBase with OSS staging, then builds a unified document intelligence pipeline that OCRs scanned records via Bailian, dual-indexes extracted content into Elasticsearch and OpenSearch for both keyword and semantic RAG retrieval, and finally layers AIRec-powered personalized recommendations on top—giving employees a single portal to search structured DB records, query scanned documents with natural language, and receive context-aware document suggestions.
See _combos/on-prem-migration-with-ocr-enhanced-rag-search-dfb3f0.
See _combos/scanned-document-intelligence-and-rag-pipeline-b621a5.
See _combos/document-ai-rag-with-semantic-recommendations-d48dc9.
See _combos/enterprise-db-migration-with-document-aware-unif-8ab711.
Q: How can enterprises migrate legacy databases and scanned documents while implementing unified search and AI-driven recommendations? A: This solution allows enterprises to migrate legacy on-premises databases and infrastructure to Alibaba Cloud while providing a single portal for unified search and personalized recommendations. By leveraging Bailian for OCR, Elasticsearch and OpenSearch for keyword and semantic RAG indexing, and AIRec for tailored suggestions, it seamlessly integrates structured data queries with natural language document retrieval.