A post-retrieval temporal layer designed to improve RAG systems by addressing time-blindness in vector searches. This library implements validity filtering, document kind classification, and exponential decay scoring to ensure retrieved information is fresh and accurate. It functions downstream of existing vector search systems without requiring re-indexing or new infrastructure.
This article explores the architecture enabling AI chatbots to perform web searches, covering retrieval-augmented generation (RAG), vector databases, and the challenges of integrating search with LLMs.
