
Auditable, source-cited document retrieval for AI agents and apps.
Visit Searchcandy-LabsSearchcandy-Labs provides a document retrieval and context system for AI agents and applications, focused on returning original passages from your document corpus along with source identifiers and full version history. It ingests text and markdown (other formats via onboarding), creates a semantic graph for fast retrieval, and ensures every citation is directly tied to its source document and version, without using generative language models for retrieval. This tool enables developers to build trustworthy, verifiable AI applications that need reliable, source-grounded retrieval (such as RAG and GraphRAG) that is inspectable and auditable.
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