# Enhancing Event-Sequence Embeddings for RAG Systems

**Date:** 2025-12-01

M:3L is developing a foundational event-embedding model that jointly captures event meaning, temporal progression, and outcome/value signals. The work targets time-sensitive retrieval and agent memory across domains, supporting anomaly and churn detection, next-action and value prediction, causal and counterfactual analysis, and grounded conversational investigation through a Semantic Vector MCP. This work was conducted within the scope of the [Faculty Research Funding Program 2025](https://www.eif.am/eng/news/faculty_research_funding_program_2025/) of the Enterprise Incubator Foundation (EIF).

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