Store and retrieve documents using Qdrant for RAG workflows. Use for persistent memory, research storage, and semantic search.
2
AI 80
collection-migration
mindmorass2/12/2026
Migrate and sync vector database collections across environments
2
AI 72
microsoft-docs
mindmorass2/12/2026
Search and fetch Microsoft Learn documentation
2
AI 71
workspace-builder
mindmorass2/12/2026
Set up and configure development workspaces
2
AI 58
rag-builder
mindmorass2/6/2026
Build Retrieval-Augmented Generation systems with vector databases
2
AI 95
aws-patterns
mindmorass2/6/2026
AWS cloud infrastructure patterns and best practices. Use when designing AWS architectures, creating Lambda functions, configuring S3 buckets, setting up EC2 instances, designing VPCs, or implementing...
2
AI 92
knowledge-ingestion-patterns
mindmorass2/6/2026
Patterns for ingesting knowledge into vector databases and RAG systems
2
AI 82
azure-resource-discovery
mindmorass2/12/2026
Azure resource dependency tracing patterns for mapping infrastructure topology, networking, security, and identity. Use when tracing Azure resource dependencies, generating topology diagrams, or docum...
2
AI 68
embedding-comparison
mindmorass2/6/2026
Compare and evaluate embedding models for semantic search