A team migrates their on-premises database—including structured records and references to scanned documents—to Alibaba Cloud by staging backups in OSS and importing into RDS/OceanBase, then processes the migrated scanned documents (PDFs, images) through Bailian OCR for text extraction, generates vector embeddings via OpenSearch, and indexes everything into Elasticsearch for unified hybrid keyword-and-vector search across both structured and unstructured data.
A team migrates their on-premises database—including structured records and references to scanned documents—to Alibaba Cloud by staging backups in OSS and importing into RDS/OceanBase, then processes the migrated scanned documents (PDFs, images) through Bailian OCR for text extraction, generates vector embeddings via OpenSearch, and indexes everything into Elasticsearch for unified hybrid keyword-and-vector search across both structured and unstructured data.
See _combos/hybrid-vector-keyword-search-system-3cb028.
See _combos/vector-search-rag-pipeline-on-alibaba-cloud-96d675.
See _combos/on-prem-db-migration-to-full-stack-search-applic-25dd1c.
See _combos/ocr-enhanced-hybrid-rag-pipeline-f952fd.
Q: How do I migrate an on-premises database containing scanned documents to build a hybrid RAG search system? A: You can migrate your on-premises database and scanned documents to Alibaba Cloud by staging backups in OSS, importing them into RDS or OceanBase, and processing the documents through Bailian OCR for text extraction. The extracted text is converted into vector embeddings via OpenSearch and indexed alongside your structured records in Elasticsearch. This setup enables unified hybrid keyword-and-vector search across both your structured data and unstructured scanned documents.