What it studies
RECALL studies how semantic search and retrieval-augmented generation can expose evidence paths instead of returning unsupported answers.
Artifact or evidence produced
It produces ranked semantic retrieval results, context bundles, and response traces.
Research context
RECALL is documented as part of Celaya Solutions Research Lab's work on local-first AI systems, provenance-aware research instruments, industrial AI workflows, archival intelligence systems, multi-agent orchestration tools, and human-judgment-preserving AI architecture.