DaaS / Products / PAI-Preprocessed Hybrid Search RAG Pipeline

PAI-Preprocessed Hybrid Search RAG Pipeline

A developer preprocesses and versions raw document corpora in PAI (deduplication, text cleaning, feature encoding, statistical analysis) to ensure data quality, then feeds the cleaned corpus into a hybrid RAG pipeline that uploads documents to OSS, deploys embedding models via OpenSearch for vector embeddings, and ingests enriched documents into Elasticsearch for combined BM25 keyword and semantic vector search.

Products involved

Scenario

A developer preprocesses and versions raw document corpora in PAI (deduplication, text cleaning, feature encoding, statistical analysis) to ensure data quality, then feeds the cleaned corpus into a hybrid RAG pipeline that uploads documents to OSS, deploys embedding models via OpenSearch for vector embeddings, and ingests enriched documents into Elasticsearch for combined BM25 keyword and semantic vector search.

How the products combine

  1. opensearch+oss+pai · pai-preprocessed-rag-vector-search-pipeline-ef0547 — PAI-Preprocessed RAG Vector Search Pipeline

    2. See _combos/pai-preprocessed-rag-vector-search-pipeline-ef0547.

  2. pai · pai-manage-data — Platform for AI (PAI) — Manage and process training datasets

    3. See pai/pai-manage-data.

  3. 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

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

  4. es+opensearch+oss · vector-search-rag-pipeline-on-alibaba-cloud-96d675 — Vector Search RAG Pipeline on Alibaba Cloud

    5. See _combos/vector-search-rag-pipeline-on-alibaba-cloud-96d675.

Typical questions

FAQ

Q: How do I preprocess and version documents in PAI before deploying a hybrid search RAG pipeline? A: You preprocess and version raw document corpora in PAI using deduplication, text cleaning, feature encoding, and statistical analysis to ensure data quality. The cleaned corpus is then fed into a hybrid RAG pipeline that uploads documents to OSS, deploys embedding models via OpenSearch for vector embeddings, and ingests enriched documents into Elasticsearch for combined BM25 keyword and semantic vector search.