qdrant
giuseppe-trisciuoglio3.4k installs
Build vector retrieval into Java applications.
What it does
Guides integration of Qdrant vector storage and similarity retrieval into Java applications using Spring Boot and LangChain4j.
When to use it
Use for semantic search, recommendation systems, RAG pipelines, and filtered similarity search in Java applications.
How to use it
Give it a Java project; it provides Qdrant integration patterns for embedding storage, similarity search, and vector management.
What you provide
- An existing project
Uses
Latest review
What you need · 6
Docker is required to deploy the instructed local Qdrant container.
The Java integration adds Qdrant client version 1.15.0 through Maven or Gradle.
Access · 2
This skill
Qdrant
Write
Creates collections and upserts vectors
qdrant/qdrant
Execute
Starts a local Qdrant container