Enterprise Document Intelligence and Discovery Platform

Scenario

A developer extracts text and structured data from unstructured enterprise documents (PDFs, scanned images, contracts) using Bailian's document understanding, ingests the processed content into Elasticsearch for full-text search, embeds the same content via OpenSearch for semantic vector retrieval to power RAG-based Q&A, and finally layers AIRec on top to deliver personalized document recommendations — creating a complete document intelligence platform from raw file to discovery.

How the products combine

1. bailian+es · document-ai-rag-pipeline-31b42e — Document AI RAG Pipeline

See _combos/document-ai-rag-pipeline-31b42e.

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. 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.

4. bailian+es · document-extraction-to-searchable-index-pipeline-6e55f7 — Document Extraction to Searchable Index Pipeline

See _combos/document-extraction-to-searchable-index-pipeline-6e55f7.

Typical questions

• build enterprise document platform from PDF to recommendation
• extract documents build RAG and add personalized recommendations
• end-to-end document intelligence pipeline with search and recommend
• 从PDF提取到RAG检索再到智能推荐全链路
• 文档抽取加语义检索加AIRec推荐一体化平台
• scanned documents to searchable and recommendable knowledge base
• OCR extract index embed recommend full pipeline
• 企业文档从OCR识别到智能推荐完整方案

Q: How do I build an end-to-end enterprise document platform that extracts files, enables RAG search, and delivers personalized recommendations? A: You can build this platform by combining Bailian, Elasticsearch, OpenSearch, and AIRec into a single cross-product pipeline. Bailian extracts text and structured data from unstructured documents, which is ingested into Elasticsearch for full-text search and embedded in OpenSearch to power RAG-based Q&A, while AIRec delivers personalized recommendations on top.