Full-Stack Document AI: OCR to Recommendations

Scenario

A developer uploads raw scanned documents (PDFs, images) to OSS, processes them through Bailian's OCR to extract text and structured data, indexes the content into Elasticsearch, layers OpenSearch semantic embeddings for RAG retrieval, and finally connects AIRec to deliver personalized document recommendations — forming a complete unstructured-data-to-intelligent-discovery pipeline.

How the products combine

1. airec+opensearch+es+opensearch+oss+es+oss+opensearch+airec+opensearch+es+opensearch+oss+es+oss+opensearch+bailian+bailian+es+bailian+es · enterprise-document-intelligence-and-discovery-p-662350 — Enterprise Document Intelligence and Discovery Platform

See _combos/enterprise-document-intelligence-and-discovery-p-662350.

2. airec+opensearch+es+opensearch+oss+es+oss+opensearch+bailian+bailian+es · document-ai-rag-with-semantic-recommendations-d48dc9 — Document AI RAG with Semantic Recommendations

See _combos/document-ai-rag-with-semantic-recommendations-d48dc9.

3. bailian+es+es+es+opensearch+oss+es+oss · end-to-end-document-intelligence-pipeline-f087d9 — End-to-End Document Intelligence Pipeline

See _combos/end-to-end-document-intelligence-pipeline-f087d9.

4. airec+opensearch+es+opensearch+oss+es+oss+opensearch · rag-powered-semantic-recommendation-platform-f30993 — RAG-Powered Semantic Recommendation Platform

See _combos/rag-powered-semantic-recommendation-platform-f30993.

Typical questions

• scanned documents to search and recommend full pipeline
• OCR extract then RAG then personalized recommendations
• upload PDFs extract text build RAG add AIRec
• 从扫描文档OCR提取到RAG检索再到智能推荐
• 文档处理加语义搜索加推荐完整链路
• end-to-end document intelligence with recommendations
• raw scans to searchable knowledge base with AIRec
• OSS Bailian OpenSearch ES AIRec full pipeline

Q: How does the full pipeline process scanned documents into personalized recommendations? A: The complete workflow begins by uploading raw scanned documents to OSS, where Bailian OCR extracts text and structured data for indexing into Elasticsearch. OpenSearch then provides semantic embeddings for RAG retrieval, and AIRec ultimately delivers personalized document recommendations to complete the end-to-end discovery pipeline.