DaaS / Products / Hybrid Search: Structured Data + Semantic RAG

Hybrid Search: Structured Data + Semantic RAG

A platform migrates its relational database (products, inventory, user records) to ApsaraDB RDS and syncs structured data to Elasticsearch for keyword-based catalog search, while simultaneously building a semantic RAG pipeline that stores product documentation in OSS, generates vector embeddings via OpenSearch, and indexes them into Elasticsearch—enabling both precise structured queries and AI-powered semantic search over unstructured content within a unified search infrastructure.

Products involved

Scenario

A platform migrates its relational database (products, inventory, user records) to ApsaraDB RDS and syncs structured data to Elasticsearch for keyword-based catalog search, while simultaneously building a semantic RAG pipeline that stores product documentation in OSS, generates vector embeddings via OpenSearch, and indexes them into Elasticsearch—enabling both precise structured queries and AI-powered semantic search over unstructured content within a unified search infrastructure.

How the products combine

  1. es+rds · migrate-db-to-rds-and-add-elasticsearch-search-bbb777 — Migrate DB to RDS and Add Elasticsearch Search

    2. See _combos/migrate-db-to-rds-and-add-elasticsearch-search-bbb777.

  2. es+supabase · supabase-to-elasticsearch-search-pipeline-ee5260 — Supabase-to-Elasticsearch Search Pipeline

    3. See _combos/supabase-to-elasticsearch-search-pipeline-ee5260.

  3. rds · rds-migrate-data — ApsaraDB RDS — Migrate database data to or between RDS instances

    4. See rds/rds-migrate-data.

  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 does the hybrid search architecture combine structured data and semantic RAG for product and documentation search? A: The hybrid search architecture enables both precise structured queries and AI-powered semantic search over unstructured content within a unified infrastructure. It migrates relational databases to ApsaraDB RDS while syncing structured data to Elasticsearch for keyword-based catalog search, and simultaneously stores product documentation in OSS to generate vector embeddings via OpenSearch before indexing them into Elasticsearch.