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Causal-Topological RAG: From Semantic Similarity to Navigable Causal Memory for Stateful AI Agents

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

Abstract Retrieval-Augmented Generation (RAG) systems predominantly retrieve information according to semantic or lexical relevance. Dense vector retrieval asks which stored representations are semantically closest to a query, while sparse retrieval identifies lexical correspondence. Graph-based ap…

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  1. 2026-09-09 01:22 · DEV Community — AI
    Causal-Topological RAG: From Semantic Similarity to Navigable Causal Memory for Stateful AI Agents

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