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vector
Use when the user wants to search, query, insert, upsert, get, or delete vectors in a Milvus collection.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Use when the user wants to search, query, insert, upsert, get, or delete vectors in a Milvus collection.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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, drop, rename, load, release, or manage collections and collection aliases in Milvus.
| name | vector |
| description | Use when the user wants to search, query, insert, upsert, get, or delete vectors in a Milvus collection. |
All vector commands accept an optional --database <db-name> flag to target a non-default database. If omitted, the database from the current context is used.
zilliz vector insert --collection <collection-name> --data '[{"id": 1, "vector": [0.1, 0.2, ...], "text": "hello"}]'
# Optional: --database <database-name>
# Or use raw JSON: --body '{...}'
zilliz vector upsert --collection <collection-name> --data '[{"id": 1, "vector": [0.1, 0.2, ...], "text": "hello"}]'
# Optional: --partition <partition-name>, --database <database-name>
# Or use raw JSON: --body '{...}'
zilliz vector search --collection <collection-name> --data '[[0.1, 0.2, 0.3, ...]]'
# Optional:
# --anns-field <vector-field-to-search-on>
# --limit <max-results-to-return>
# --filter <scalar-filter-expression>
# --output-fields '["field1", "field2"]'
# --database <database-name>
zilliz vector hybrid-search \
--collection <collection-name> \
--search '[{"data": [[0.1, ...]], "annsField": "dense_vector", "limit": 10}, {"data": [["search text"]], "annsField": "sparse_vector", "limit": 10}]' \
--rerank '{"strategy": "rrf", "params": {"k": 60}}'
# Optional:
# --limit <max-results-to-return>
# --output-fields '["field1", "field2"]'
# --database <database-name>
# Or use raw JSON: --body '{...}'
zilliz vector query --collection <collection-name> --filter <scalar-filter-expression>
# Optional:
# --limit <max-results-to-return>
# --output-fields '["field1", "field2"]'
# --database <database-name>
zilliz vector get --collection <collection-name> --id '[1, 2, 3]'
# Optional: --output-fields '["field1", "field2"]', --database <database-name>
zilliz vector delete --collection <collection-name> --filter <filter>
# Optional: --partition <partition-name>, --database <database-name>
Common filter patterns:
| Expression | Example |
|---|---|
| Comparison | age > 20 |
| Equality | status == "active" |
| IN list | id in [1, 2, 3] |
| AND/OR | age > 20 and status == "active" |
| String match | text like "hello%" |
| Array contains | tags array_contains "ml" |
--data parameter accepts a JSON array of vectors. Each vector is an array of floats.zilliz collection describe to understand field names and vector dimensions.--data value must match the collection's vector dimension exactly.--anns-field to specify which vector field to search on when the collection has multiple vector fields.--data.zilliz vector insert --collection <name> --data "$(cat data.json)".--output-fields when the user wants specific fields in results.--body for complex hybrid search configurations.