What problem does it solve? Developers integrating the Qdrant vector database often need to find the correct client SDK for their language and locate working code examples for operations like uploading points, which requires searching scattered documentation. ## Core Features & Use Cases - Multi-language SDK Reference: Lists official Qdrant client SDKs for Python, JavaScript/TypeScript, Rust, Go, .NET, and Java with installation commands. - API Reference Pointers: Directs users to the REST API OpenAPI reference and gRPC protobuf definitions for direct API integration. - Curated Code Snippet Search: Queries a snippet library via HTTP to retrieve language-specific code examples, such as uploading points with payloads and retry policies. - Use Case: A Python developer building a semantic search feature asks how to upload vectors to Qdrant and receives a working qdrant-client snippet with PointStruct usage, parallel uploads, and retry configuration. ## Quick Start Ask how to upload points to a Qdrant collection in Python and get a ready-to-use code snippet from the curated library.