DaaS / Products / Vector Search RAG Pipeline on Alibaba Cloud

Vector Search RAG Pipeline on Alibaba Cloud

A developer uploads raw documents to OSS, deploys an embedding model via OpenSearch to generate vector embeddings, creates and manages vector indexes in OSS, then ingests the enriched documents with embeddings into Elasticsearch for hybrid keyword-and-vector search — forming a complete Retrieval-Augmented Generation pipeline.

Products involved

Scenario

A developer uploads raw documents to OSS, deploys an embedding model via OpenSearch to generate vector embeddings, creates and manages vector indexes in OSS, then ingests the enriched documents with embeddings into Elasticsearch for hybrid keyword-and-vector search — forming a complete Retrieval-Augmented Generation pipeline.

How the products combine

  1. oss · oss-manage-objects — Object Storage Service — Manage storage objects (upload, download, copy, etc.)

    2. See oss/oss-manage-objects.

  2. opensearch · opensearch-deploy-model — OpenSearch — Deploy embedding model for inference

    3. See opensearch/opensearch-deploy-model.

  3. oss · oss-manage-data — Object Storage Service — Manage vector data and indexes

    4. See oss/oss-manage-data.

  4. es · es-ingest-documents — Elasticsearch — Ingest and manage document data in Elasticsearch

    5. See es/es-ingest-documents.

Typical questions