milvus-vectors

name	milvus-vectors
description	Scalable vector database with Milvus
version	1.0.0
tags	["ai","vectors","database","embeddings","search"]

Milvus – Vector Database at Scale

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.