Freshcontext

FreshContext is a context integrity and judgment layer for retrieval-augmented generation (RAG) and AI systems, designed to improve relevance, recency, and reliability of context before it reaches LLMs or agents. It acts as a middleware between data retrieval and reasoning, using a decay-adjusted relevancy engine to score, explain, and structure candidate contexts by freshness, provenance, and utility. Ideal for developers, researchers, and organizations building retrieval pipelines, agentic systems, or RAG solutions that require up-to-date, trustworthy, and decision-ready context.