Qdrant Vector Search — Fast, Reliable, Scalable.¶
Hosted vector search and AI embedding engine in Türkiye. Low-latency, secure, and ready to power your apps.¶
Store, Search, Scale — All in One Place¶
Qdrant is an open-source, high-performance vector search engine designed to help teams manage embeddings, AI data, and semantic search efficiently, all in one platform.
With cloud.core.gen.tr, you can deploy Qdrant instantly on secure, high-performance infrastructure hosted in Türkiye. Store, query, and analyze vectors with full control — no vendor lock-in, just seamless AI-powered search.
What You Can Do with Qdrant¶
- Vector Storage & Indexing: Save embeddings from any AI model and organize them for fast retrieval.
- Semantic Search: Perform similarity searches and nearest-neighbor queries across millions of vectors.
- Scalable Infrastructure: Easily scale your Qdrant instance to handle growing datasets.
- Integration Ready: Connect with Python, Node.js, or any REST/GRPC-compatible application.
- Real-Time Updates: Insert, update, or delete vectors without downtime for continuous operation.
- Custom Filtering & Metadata: Add metadata to vectors and filter queries for precise results.
Why Qdrant on cloud.core.gen.tr?¶
- One-Click Deployment: Launch a fully configured Qdrant instance in minutes.
- Hosted in Türkiye: Keep your AI and vector data under national data protection standards.
- Secure & Reliable: SSL, automated backups, and isolated cloud environment.
- High Performance: Optimized infrastructure ensures low-latency queries even for large datasets.
- Automatic Updates: Stay current with the latest Qdrant features, improvements, and security patches.
- Local Expert Support: Get guidance from engineers experienced in AI, vector databases, and cloud deployment.
Technical Specifications¶
- Qdrant v2.x (latest stable)
- Debian 12 (Bookworm)
- Systemd-managed service
- amd64 architecture
- cloud.core.gen.tr image template
- License: Apache 2.0
Take Full Control of Your Vector Data¶
Stop juggling multiple AI tools and scattered data.
With Qdrant on cloud.core.gen.tr, you own your embeddings, indexes, and search pipelines — all in a secure, high-
performance cloud environment.
Vector search isn’t just about storing data — it’s about powering intelligent applications. Make every query count.
Format: QCOW2
Size: 32.0 GB
Product Information¶
- Product URL: Qdrant Vector Store with Ollama
- Available Plans: Monthly and annual billing options (prices subject to change)
- Category: AI
- Product ID: 84