gutsofpratik/horizon-skills/source-46b99c230a34a7218768eaab

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Use when the user wants to search, query, insert, upsert, get, or delete vectors in a Milvus collection.

Install

npx vskill@latest install gutsofpratik/horizon-skills/source-46b99c230a34a7218768eaab

SKILL.md

Prerequisites

  1. CLI installed, logged in, and cluster context set (see setup skill).
  2. Target collection must exist and be loaded (see collection skill).

Commands Reference

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.

Insert Vectors
bash
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 '{...}'
Upsert Vectors
bash
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 '{...}'
Vector Search
bash
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>
Hybrid Search
bash
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 '{...}'
Query by Filter
bash
zilliz vector query --collection <collection-name> --filter <scalar-filter-expression>
# Optional:
#   --limit <max-results-to-return>
#   --output-fields '["field1", "field2"]'
#   --database <database-name>
Get by ID
bash
zilliz vector get --collection <collection-name> --id '[1, 2, 3]'
# Optional: --output-fields '["field1", "field2"]', --database <database-name>
Delete a Vector
bash
zilliz vector delete --collection <collection-name> --filter <filter>
# Optional: --partition <partition-name>, --database <database-name>

Filter Expression Syntax

Common filter patterns:

ExpressionExample
Comparisonage > 20
Equalitystatus == "active"
IN listid in [1, 2, 3]
AND/ORage > 20 and status == "active"
String matchtext like "hello%"
Array containstags array_contains "ml"

Guidance

  • The --data parameter accepts a JSON array of vectors. Each vector is an array of floats.
  • Before searching, inspect the collection schema with zilliz collection describe to understand field names and vector dimensions.
  • The collection must be loaded before search/query operations.
  • For search, the --data value must match the collection's vector dimension exactly.
  • Use --anns-field to specify which vector field to search on when the collection has multiple vector fields.
  • When the user provides a text query and wants semantic search, explain that they need to convert text to vectors first (using an embedding model) before passing to --data.
  • For large insert operations, suggest writing data to a JSON file first, then using zilliz vector insert --collection <name> --data "$(cat data.json)".
  • Always show --output-fields when the user wants specific fields in results.
  • Or use --body for complex hybrid search configurations.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

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Source

Popularity

Repository stars
2
7-day trend score
0

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