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collection
// Use when the user wants to create, list, describe, drop, rename, load, release, or manage collections and collection aliases in Milvus.
// Use when the user wants to create, list, describe, drop, rename, load, release, or manage collections and collection aliases in Milvus.
Use when the user reports that a Zilliz Cloud cluster or Milvus collection is unhealthy, slow, stuck, returning errors, hitting quotas, or otherwise misbehaving — or when they ask "what's wrong with...", "why is ... slow", "diagnose ...", "troubleshoot ...".
Zilliz Cloud onboarding and usage assistant. Helps users understand Zilliz Cloud, choose the right plan, estimate costs, write code, debug issues, and adopt new features like Functions, Volumes, and Global Clusters. Use this skill whenever the user asks about Zilliz Cloud — including plan selection, pricing, cost estimation, capacity planning, cluster configuration, SDK usage, schema design, search patterns, migration, troubleshooting, MCP server setup, Terraform, auto-scaling, metrics/alerts, backup/restore, or any "how do I do X with Zilliz Cloud" question. Also trigger when the user mentions keywords like: "Zilliz", "zilliz cloud", "vector database", "which plan", "serverless vs dedicated", "CU", "vCU", "Milvus cloud", "pymilvus", "collection", "embedding function", "hybrid search", "rerank", "BM25", "global cluster", "BYOC", "tiered storage", "volume", "data import", "MCP server", "partition key", or error messages from Zilliz Cloud.
Use when the user wants to create, list, describe, delete, export, or restore backups, or manage backup policies on Zilliz Cloud.
Use when the user wants to check usage, view invoices, or manage payment methods on Zilliz Cloud.
Use when the user wants to create, list, describe, delete, suspend, resume, or modify Zilliz Cloud clusters.
Use when the user wants to create, list, describe, or drop databases in Milvus.
| name | collection |
| description | Use when the user wants to create, list, describe, drop, rename, load, release, or manage collections and collection aliases in Milvus. |
All collection commands accept an optional --database <db-name> flag to target a non-default database. If omitted, the database from the current context is used.
Query per-collection metrics against POST /v2/clusters/{clusterId}/metrics/query with collectionName set in the request body. Mirrors the web console's Collection Detail > Metrics page.
zilliz collection metrics --collection-name <collection-name> --metric <metric-name>
# Optional:
# --cluster-id <cluster-id> Override cluster context
# --period <duration> e.g. 1h, 24h, 7d (mutually exclusive with --start/--end)
# --start <iso-8601> --end <iso-8601>
# --granularity <duration> / -g e.g. 30s, 5m, 1h (auto-selected if omitted)
# -o table Render pivot table instead of the default inline chart
The default output is an inline text chart: one block per metric with a summary line (min / max / avg / last) and a Braille-rendered line chart. Pass an explicit -o table (or --output table) to render the pivot-table layout — useful for terminals without good Braille font support. -o json, -o yaml, -o csv, and --query always bypass both renderers and return the raw response.
Examples:
# Period shorthand: last hour of SEARCH_QPS for a collection
zilliz collection metrics -c my_coll -m SEARCH_QPS --period 1h
# Explicit range with 1h granularity
zilliz collection metrics -c my_coll -m ENTITIES_LOADED \
--start 2026-04-13T00:00:00Z --end 2026-04-14T00:00:00Z -g 1h
# Multiple metrics in a single call
zilliz collection metrics -c my_coll -m SEARCH_QPS -m SEARCH_LATENCY_P99 --period 6h
Each metric is tagged with a scope. zilliz collection metrics only accepts metrics whose scope is Collection or Both. Using a Cluster-only metric emits:
Metric '<NAME>' is cluster-scope only and cannot be used with --collection-name.
| Scope | Metrics |
|---|---|
| Cluster only (rejected here) | CU_COMPUTATION, CU_CAPACITY, CU_SIZE, REPLICA_COUNT, STORAGE, COLLECTIONS, SLOW_QUERIES, READ_VCU, WRITE_VCU |
| Collection / Both (allowed) | SEARCH_QPS, QUERY_QPS, INSERT_QPS, UPSERT_QPS, DELETE_QPS, BULK_INSERT_QPS, SEARCH_LATENCY_AVG/P99, QUERY_LATENCY_AVG/P99, INSERT_LATENCY_AVG/P99, UPSERT_LATENCY_AVG/P99, DELETE_LATENCY_AVG/P99, VPS counters, failure-rate counters, ENTITIES, ENTITIES_LOADED, ENTITIES_INDEXED, plus the hybrid-search aliases below |
| CLI name | Backend name |
|---|---|
HYBRID_SEARCH_QPS | REQ_HYBRID_SEARCH_COUNT |
HYBRID_SEARCH_LATENCY_AVG | REQ_HYBRID_SEARCH_LATENCY_AVG |
HYBRID_SEARCH_LATENCY_P99 | REQ_HYBRID_SEARCH_LATENCY_P99 |
HYBRID_SEARCH_FAIL_RATE | REQ_FAIL_RATE_HYBRID_SEARCH |
For cluster-wide metrics (CU sizing, storage, serverless VCU, slow queries) use zilliz cluster metrics instead -- see the monitoring skill.
zilliz collection create --name <collection-name> --dimension <vector-dimension>
# Optional:
# --metric-type <COSINE|L2|IP>
# --id-type <Int64|VarChar>
# --auto-id <true|false>
# --primary-field <primary-key-field-name>
# --vector-field <vector-field-name>
# --database <database-name>
# Or use raw JSON: --body '{"schema": {"fields": [{"fieldName": "id", "dataType": "Int64", "isPrimary": true}, {"fieldName": "vector", "dataType": "FloatVector", "elementTypeParams": {"dim": "768"}}]}}'
zilliz collection list
# Optional: --database <database-name>
zilliz collection describe --name <collection-name>
# Optional: --database <database-name>
zilliz collection drop --name <collection-name-to-drop>
# Optional: --database <database-name>
zilliz collection rename --name <current-collection-name> --new-name <new-collection-name>
# Optional: --database <current-database-name>, --new-database <target-database-name>
zilliz collection load --name <collection-name>
# Optional: --database <database-name>
zilliz collection release --name <collection-name>
# Optional: --database <database-name>
zilliz collection get-load-state --name <collection-name>
# Optional: --database <database-name>
zilliz collection get-stats --name <collection-name>
# Optional: --database <database-name>
zilliz collection has --name <collection-name>
# Optional: --database <database-name>
zilliz collection flush --name <collection-name>
# Optional: --database <database-name>
zilliz collection compact --name <collection-name>
# Optional: --database <database-name>
zilliz alias create --collection <target-collection-name> --alias <alias-name>
# Optional: --database <database-name>
zilliz alias list --database <database-name>
# Optional: --collection <filter-by-collection-name>
zilliz alias describe --alias <alias-name>
# Optional: --database <database-name>
zilliz alias alter --collection <new-target-collection> --alias <alias-name-to-reassign>
# Optional: --database <database-name>
zilliz alias drop --alias <alias-name-to-drop>
# Optional: --database <database-name>
describe to inspect schema before performing vector operations.