AgentSkillsCN

milvus-integration

为大规模 RAG 应用配置 Milvus 分布式向量数据库

SKILL.md
--- frontmatter
name: milvus-integration
description: Milvus distributed vector database configuration for large-scale RAG applications
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep

Milvus Integration Skill

Capabilities

  • •Set up Milvus (Lite, Standalone, Cluster)
  • •Design collection schemas with dynamic fields
  • •Configure index types (IVF, HNSW, etc.)
  • •Implement partition strategies
  • •Set up GPU acceleration
  • •Handle large-scale data operations

Target Processes

  • •vector-database-setup
  • •rag-pipeline-implementation

Implementation Details

Deployment Modes

  1. •Milvus Lite: Embedded for development
  2. •Standalone: Single-node deployment
  3. •Cluster: Distributed deployment with K8s

Core Operations

  • •Collection and schema management
  • •Index creation and configuration
  • •Insert/delete/query operations
  • •Partition management
  • •Bulk import

Configuration Options

  • •Index type selection (IVF_FLAT, IVF_SQ8, HNSW)
  • •Metric type (L2, IP, COSINE)
  • •Index parameters (nlist, nprobe, M, efConstruction)
  • •Partition key configuration
  • •Resource group assignment

Best Practices

  • •Choose index type based on scale
  • •Use partitions for data isolation
  • •Configure proper nprobe for recall
  • •Monitor query latency and throughput

Dependencies

  • •pymilvus
  • •langchain-milvus