About Qdrant Vector Store
Deploys Qdrant as a private vector-store backend for RAG, retrieval, and
Anchras AI app workflows that need a dedicated collection service. The
template wires Qdrant's API-key authentication from an existing Kubernetes
secret so chatbot, agent, and ingestion workloads can use scoped runtime
credentials instead of an unauthenticated vector database.
Anchras AI app workflows that need a dedicated collection service. The
template wires Qdrant's API-key authentication from an existing Kubernetes
secret so chatbot, agent, and ingestion workloads can use scoped runtime
credentials instead of an unauthenticated vector database.
Project Details
License
Apache-2.0
Platform
Kubernetes
Min. Requirements
2 CPU, 4GB RAM, 20GB disk
Website
qdrant.tech
Source Code
qdrant/qdrant
Or have it managed.
If you would rather not run Qdrant Vector Store yourself, Anchras Platform deploys it onto a private cloud you own, with updates, networking, and audit handled. The catalog stays free here either way.
