A post-retrieval temporal layer for RAG systems — validity filtering, time decay, document kind classification, and hybrid reranking in one pipeline.
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Updated
May 15, 2026 - Python
A post-retrieval temporal layer for RAG systems — validity filtering, time decay, document kind classification, and hybrid reranking in one pipeline.
Validate retrieved context before AI agents act.
This repository contains the coding materials to reproduce the learning error curves of the paper "How Does Data Freshness Affect Real-time Supervised Learning ?".
Markdown vault management toolkit -- freshness, refactoring, indexing, and tags. Zero API dependency CLI for Obsidian vaults and knowledge bases.
Keeps documentation honest with the code it describes. Three axes, one creed — prove it or drop it: a ride-along reflex flags drift, winnow certifies every claim in a deep pass, flourish crafts ugly-but-true docs to a gold standard, cultivate keeps the repo clean. Cites the line or says nothing; rewrites prose only when asked. Language-agnostic.
Temporal-awareness hook for tool-using LLMs — surfaces freshness verdicts on in-context data so stale information doesn't poison fresh reasoning. Adapters for Claude Code, Antigravity, and any generic harness.
MLOps feature quality, freshness, offline/online consistency, lineage evidence, CLI/API gates, Prometheus, Kubernetes, and Terraform
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