DaaS / Products / RAG-Powered Semantic Recommendation Platform

RAG-Powered Semantic Recommendation Platform

Build a complete knowledge discovery platform where documents stored in OSS are embedded via OpenSearch and indexed in Elasticsearch for RAG-based search, then the same semantic embeddings power AIRec to deliver personalized content recommendations based on user behavior and semantic understanding.

Products involved

Scenario

Build a complete knowledge discovery platform where documents stored in OSS are embedded via OpenSearch and indexed in Elasticsearch for RAG-based search, then the same semantic embeddings power AIRec to deliver personalized content recommendations based on user behavior and semantic understanding.

How the products combine

  1. es+oss · hybrid-vector-keyword-search-system-3cb028 — Hybrid Vector + Keyword Search System

    2. See _combos/hybrid-vector-keyword-search-system-3cb028.

  2. opensearch · opensearch-build-solution — OpenSearch — Build a Retrieval-Augmented Generation (RAG) solution

    3. See opensearch/opensearch-build-solution.

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

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

  4. airec+opensearch · semantic-search-powered-recommendation-system-5bbd35 — Semantic Search-Powered Recommendation System

    5. See _combos/semantic-search-powered-recommendation-system-5bbd35.

Typical questions