Claix.dev develops agentic retrieval as alternative to vector RAG for AI memory

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The company Claix.dev has introduced a new approach called agentic retrieval for AI agent memory systems. This method is presented as an alternative to the widely used vector-based Retrieval-Augmented Generation (RAG) architecture. The development was announced in a blog post on the company's website. The concept aims to enhance how AI agents store and recall information during their operations.

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