DaaS / Products / Scanned Document OCR to RAG Knowledge Base

Scanned Document OCR to RAG Knowledge Base

A developer uploads raw scanned documents (PDFs, images) to OSS, uses Bailian's document understanding to extract text via OCR, generates vector embeddings through OpenSearch, indexes enriched content into Elasticsearch, and assembles a complete RAG knowledge base with retrieval and reranking pipelines in Bailian for production question-answering.

Products involved

Scenario

A developer uploads raw scanned documents (PDFs, images) to OSS, uses Bailian's document understanding to extract text via OCR, generates vector embeddings through OpenSearch, indexes enriched content into Elasticsearch, and assembles a complete RAG knowledge base with retrieval and reranking pipelines in Bailian for production question-answering.

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.

  2. 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

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

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

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

  4. bailian · bailian-build-system — — Build RAG knowledge bases and retrieval pipelines

    5. See bailian/bailian-build-system.

Typical questions

FAQ

Q: How do I build a RAG knowledge base from scanned documents? A: You build a RAG knowledge base from scanned documents by uploading them to OSS, extracting text via Bailian's OCR, generating vector embeddings through OpenSearch, and indexing the enriched content into Elasticsearch for retrieval in Bailian. This integrated workflow supports full production question-answering with built-in retrieval and reranking pipelines.