--- title: Semantic Search in Healthcare: Inside Halodoc’s RAG... description: Halodoc, Indonesia's leading healthcare app, shares how they built a semantic retrieval layer on top of their existing keyword-based search to power RAG-driven... canonical: https://daily.dev/posts/semantic-search-in-healthcare-inside-halodoc-s-rag-retrieval-architecture-k21iesakb twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Semantic Search in Healthcare: Inside Halodoc’s RAG Retrieval Architecture | daily.dev og:description: Halodoc, Indonesia's leading healthcare app, shares how they built a semantic retrieval layer on top of their existing keyword-based search to power RAG-driven... og:url: https://daily.dev/posts/semantic-search-in-healthcare-inside-halodoc-s-rag-retrieval-architecture-k21iesakb og:image: https://api.daily.dev/og/posts/k21iEsAkB.png og:image:alt: Semantic Search in Healthcare: Inside Halodoc’s RAG Retrieval Architecture og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Semantic Search in Healthcare: Inside Halodoc’s RAG Retrieval Architecture **[Halodoc](https://daily.dev/sources/halodoc)** · 8 min read · 0 upvotes · 0 comments ## Summary Halodoc, Indonesia's leading healthcare app, shares how they built a semantic retrieval layer on top of their existing keyword-based search to power RAG-driven AI systems like a prescription assistance platform and Healthcare Q&A assistant. Using OpenSearch with HNSW-based k-NN vector search and 768-dimensional embeddings from Hugging Face sentence-transformers, they created an ingest pipeline that automatically generates embeddings at indexing time. The architecture complements rather than replaces keyword search, forming a hybrid retrieval system. Key lessons include the importance of offline embedding generation for scale, hybrid retrieval improving results, and retrieval quality directly impacting hallucination rates. The system has validated ~21K prescriptions and driven ~32K bookings from Q&A assistant users. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Semantic search vs. RAG: A side-by-side comparison](https://daily.dev/posts/semantic-search-vs-rag-a-side-by-side-comparison-gjgdkj0rq) · Meilisearch · 1 upvotes · 0 comments - [Building AI Search on Heroku](https://daily.dev/posts/building-ai-search-on-heroku-kaxhl4h1r) · Heroku · 1 upvotes · 0 comments - [Your RAG System Has a Hidden UX Problem](https://daily.dev/posts/your-rag-system-has-a-hidden-ux-problem-oytm7rbu2) · Daily Dose of Data Science \| Avi Chawla \| Substack · 26 upvotes · 0 comments --- Tags: [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#opensearch](https://daily.dev/tags/opensearch) [View this post on daily.dev](https://daily.dev/posts/semantic-search-in-healthcare-inside-halodoc-s-rag-retrieval-architecture-k21iesakb) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Semantic Search in Healthcare: Inside Halodoc’s RAG Retrieval Architecture","url":"https://daily.dev/posts/semantic-search-in-healthcare-inside-halodoc-s-rag-retrieval-architecture-k21iesakb","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/semantic-search-in-healthcare-inside-halodoc-s-rag-retrieval-architecture-k21iesakb"},"datePublished":"2026-03-27T07:55:34.315Z","dateModified":"2026-03-27T07:56:03.736Z","description":"Halodoc, Indonesia's leading healthcare app, shares how they built a semantic retrieval layer on top of their existing keyword-based search to power RAG-driven...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b8ec6365fd80b0e73237268a964b223e?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b8ec6365fd80b0e73237268a964b223e?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Halodoc","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Halodoc","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/b3d554a1a7b44df48789c7ca6e50c4c2","url":"https://daily.dev/sources/halodoc"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/semantic-search-in-healthcare-inside-halodoc-s-rag-retrieval-architecture-k21iesakb","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"rag,vector-search,opensearch","timeRequired":"PT8M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Halodoc","item":"https://daily.dev/sources/halodoc"},{"@type":"ListItem","position":3,"name":"Semantic Search in Healthcare: Inside Halodoc’s RAG Retrieval Architecture"}]} ```