BetterStacks Labs

The unrag package enables developers to install and configure retrieval-augmented generation primitives within TypeScript environments. It facilitates the connection between private data sources and generative models, ensuring that retrieved context is accurately mapped to application-specific logic without requiring complex infrastructure overhead.

Full-stack engineers and backend developers working within TypeScript ecosystems benefit most from unrag. It is designed for technical teams tasked with implementing semantic search or context-aware generative features who require lightweight, code-native primitives rather than heavy, external managed services.

Implementation requires a functional TypeScript environment and an existing data source capable of generating vector embeddings. Developers must have a configured vector store and a basic understanding of retrieval-augmented generation patterns to effectively map the provided primitives to their specific data retrieval requirements.