qdrant-patterns

What problem does it solve?

This Skill provides a reusable pattern for storing and retrieving documents using Qdrant as a vector-based store, enabling persistent memory, research archives, and fast semantic search.

Core Features & Use Cases

• Qdrant-store: Persist documents with automatic embedding for quick, accurate retrieval.
• Qdrant-find: Semantically search stored content to surface relevant results.
• Use Case: Build a workspace-specific memory of research notes or documentation that can be queried by natural language.

Quick Start

To begin, run a Qdrant instance, set the COLLECTION_NAME to your workspace, and begin storing and querying documents with qdrant-store and qdrant-find.