Vector stores (Qdrant)

Run a Qdrant vector database in a resource group for embeddings and similarity search, and understand how it is secured, exposed and kept.

• API reference — Every HTTP endpoint of the db-qdrant module: authentication, IAM action, parameters, bodies and status codes.
• Configuration reference — Configuration keys of the db-qdrant module: sections, environment variables, types and defaults.
• Connect to a vector store — Find a vector store's endpoints and API key, and connect to it from a workload, from outside the cluster, or with Qdrant's dashboard.
• Create a vector store — Create a Qdrant vector store in a resource group, choose its size and replicas, and decide whether it is served over HTTPS.
• Vector stores (Qdrant) — Run a Qdrant vector database in a resource group for embeddings and similarity search, and understand how it is secured, exposed and kept.
• Manage a vector store — Change a vector store's version, plan and replicas, open it to the outside, rotate its API key, stop or start it, back up a collection, and delete it.
• Permissions — The actions that govern vector stores, and the roles that hold them.
• Plans and limits — The compute plans for vector stores, and the names, ports, versions and limits that apply to them.
• What vector stores need from the installation — The Qdrant operator, the Qdrant domain, the certificate issuer and the storage classes that vector stores depend on, and how their absence shows.
• Statuses — What a vector store's status means, and what to do when it is Failed.