Milvus – Vector Database at Scale

SkillDatabases & data

Scalable vector database with Milvus

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Milvus skill

What this skill tells your AI

The instructions your AI receives, as published by bidewio/better-openclaw in skills/milvus-vectors/SKILL.md and read by ahel’s review.

Milvus is a purpose-built vector database for AI applications, capable of handling billions of vectors with sub-second search.

GitHub: github.com/milvus-io/milvus (35 000+ ⭐)
License: Apache-2.0
Security: Linux Foundation AI project. No malware.

Environment Variables

Variable	Description
`{{MILVUS_HOST}}`	Milvus server host
`{{MILVUS_PORT}}`	Milvus server port (default: 19530)

Usage Examples

Create a collection (via pymilvus)

python3 -c "
from pymilvus import connections, Collection, FieldSchema, CollectionSchema, DataType
connections.connect(host='{{MILVUS_HOST}}', port='{{MILVUS_PORT}}')
fields = [
    FieldSchema('id', DataType.INT64, is_primary=True, auto_id=True),
    FieldSchema('embedding', DataType.FLOAT_VECTOR, dim=768)
]
schema = CollectionSchema(fields)
col = Collection('my_collection', schema)
print('Collection created:', col.name)
"

AI Agent Tips

Supports multiple index types: IVF, HNSW, DiskANN, GPU indexes.
Hybrid search combines vector similarity with scalar filtering.
Cloud-native with horizontal scaling via Kubernetes.
Integrates with LangChain, LlamaIndex, and Haystack.

Signals

GitHub stars: 58
Forks: 6
Last commit: Aug 2026

Advanced

Item type: skill
Key: milvus-vectors
Source: github.com/bidewio/better-openclaw

github.com/bidewio/better-openclaw