neumann-client

What problem does it solve?

This Skill provides clear, actionable guidance for connecting applications to the Neumann database so developers can reliably open connections, execute queries, manage vectors and blobs, and safely handle results across supported languages.

Core Features & Use Cases

• Official SDK patterns for Rust, Python, and TypeScript with gRPC transport and embedded mode options where supported.
• Query execution modes: single, batch, streaming, and paginated; plus a dedicated VectorClient for collection and point operations and a Blob API for artifact upload/download.
• Error and retry guidance with mapped error codes, configuration presets for timeouts and retries, and examples for transaction and streaming usage.
• Use Case: Build a Python microservice that queries user data, runs vector similarity searches, and streams large query results to a client while respecting retry and timeout policies.

Quick Start

Connect to a local Neumann instance using the Python SDK, execute a SELECT users query, and return the parsed rows as JSON.