Load mass data into databases tailored for precise, low-context retrieval.
Standard RAG pipelines can flood an AI's context window. DBLOADA builds strict SQL and Graph schemas that Agents can query precisely, eliminating hallucination and reducing token cost.
Rust-based micro-component architecture with strict dependency injection via `ComponentAssembler`.
Declaratively define data sources in a simple `dbloada.yaml` manifest file.
Each capability is defined as a trait, allowing for easy extension to new database types.
