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Qdrant#

OverviewInstall

Chart Name	Version	App version
qdrant	1.16.3	v1.16.3

Qdrant (read: quadrant) is a vector similarity search engine and vector database.

It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.

Qdrant is written in Rust 🦀, which makes it fast and reliable even under high load. See benchmarks.

With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!

Qdrant is also available as a fully managed Qdrant Cloud ⛅ including a free tier.

Prerequisites#

Deploy k0rdent v1.8.0: QuickStart

Install template to k0rdent#

helm upgrade --install qdrant oci://ghcr.io/k0rdent/catalog/charts/kgst --set "chart=qdrant:1.16.3" -n kcm-system

Verify service template#

kubectl get servicetemplates -A
# NAMESPACE    NAME                            VALID
# kcm-system   qdrant-1-16-3                   true

Deploy service template#

apiVersion: k0rdent.mirantis.com/v1beta1
kind: MultiClusterService
metadata:
  name: qdrant
spec:
  clusterSelector:
    matchLabels:
      group: demo
  serviceSpec:
    services:
    - template: qdrant-1-16-3
      name: qdrant
      namespace: qdrant

Official docs