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.
Project details
License
Apache-2.0
Packaging
Helm chart
Min. Requirements
2 CPU, 4GB RAM, 20GB disk
Website
qdrant.tech
Source Code
qdrant/qdrant
Or have it managed.
If you would rather not operate Qdrant Vector Store by hand, Anchras Platform connects its deployment lifecycle, private networking, policy, logs, and audit on infrastructure you control. The platform is in closed beta; the catalog stays free here either way.
