last30days-v3-spec

A reproducible runtime pipeline requires a strict architectural blueprint specifying modular steps, data formats, and environment checks to ensure deterministic behavior across query planning, source retrieval, and ranking. This spec defines that layered approach for consistent implementation.

The best way to structure a retrieval pipeline is through sequential stages: plan queries, retrieve per subquery and source, normalize and dedupe, extract best snippets, fuse with weighted ranking, rerank with a relevance score, cluster evidence, and render ranked clusters.

To ensure deterministic execution across environments, the pipeline specification mandates required tools and environment checks that must pass before processing begins, guaranteeing reproducible runs and clear error reporting.

Yes, the architecture supports extensibility through optional directories including scripts, references, and assets that implementation teams can integrate as needed without altering the core deterministic pipeline stages.

Inconsistent results often stem from missing environment checks and unspecified data formats. The spec addresses this by enforcing strict modular steps, format definitions, and runtime prerequisites to guarantee deterministic behavior.

No external dependencies are required to implement the architecture. The spec is self-contained, defining all pipeline stages, data formats, and environment checks internally to guide implementation teams without third-party constraints.