DaaS / Products / Scanned Document RAG Intelligence System

Scanned Document RAG Intelligence System

Upload raw scanned PDFs and images to OSS, use Bailian's OCR and document understanding to extract text and structured data, then feed the cleaned content into an OpenSearch-embedded vector index on Elasticsearch to power a full semantic-search RAG pipeline that answers natural-language questions over previously unsearchable scanned archives.

Products involved

Scenario

Upload raw scanned PDFs and images to OSS, use Bailian's OCR and document understanding to extract text and structured data, then feed the cleaned content into an OpenSearch-embedded vector index on Elasticsearch to power a full semantic-search RAG pipeline that answers natural-language questions over previously unsearchable scanned archives.

How the products combine

  1. es+opensearch+oss · vector-search-rag-pipeline-on-alibaba-cloud-96d675 — Vector Search RAG Pipeline on Alibaba Cloud
  2. See _combos/vector-search-rag-pipeline-on-alibaba-cloud-96d675.

  3. opensearch+oss · end-to-end-vector-search-pipeline-7d95e0 — End-to-End Vector Search Pipeline
  4. See _combos/end-to-end-vector-search-pipeline-7d95e0.

  5. 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
  6. See _combos/full-stack-custom-rag-train-to-production-e68446.

  7. bailian+es+es+es+opensearch+oss+es+oss · end-to-end-document-intelligence-pipeline-f087d9 — End-to-End Document Intelligence Pipeline
  8. See _combos/end-to-end-document-intelligence-pipeline-f087d9.

Typical questions

FAQ

Q: How do I build an end-to-end RAG pipeline for scanned documents? A: You build this pipeline by uploading raw scanned PDFs and images to OSS, using Bailian's OCR and document understanding to extract text and structured data, and indexing the cleaned content in an OpenSearch-embedded vector index on Elasticsearch. This configuration powers a full semantic-search RAG pipeline that allows you to ask natural-language questions over previously unsearchable scanned archives.