# Building a Semantic Search Engine with Qdrant & Encore.ts

DevFeed: [Building a Semantic Search Engine with Qdrant & Encore.ts](<https://devfeed.tech/articles/building-a-semantic-search-engine-with-qdrant-encore-ts-17832.md>)

Original publisher: [Read original article](<https://encore.dev/blog/qdrant-semantic-search>)

Author: Ivan Cernja

Published: 2025-05-28T00:00:00Z

Content type: tutorial

Language: en

Sources: [Encore Updates](<https://devfeed.tech/sources/encore-updates.md>)

Topics: [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [Databases](<https://devfeed.tech/topics/databases.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [code](<https://devfeed.tech/tags/code.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [openai](<https://devfeed.tech/tags/openai.md>), [search](<https://devfeed.tech/tags/search.md>), [sql](<https://devfeed.tech/tags/sql.md>), [sql-database](<https://devfeed.tech/tags/sql-database.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>), [vector](<https://devfeed.tech/tags/vector.md>), [vector-database](<https://devfeed.tech/tags/vector-database.md>)

## AI overview

A tutorial for building a semantic search engine with OpenAI embeddings and the Qdrant vector database. It explains how natural-language queries can retrieve conceptually related documents and describes using Encore services with a SQL database for document metadata.

## Source excerpt

Create powerful semantic search using OpenAI embeddings and Qdrant vector database