By 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.