Towards a Context Layer for Self-Improving Data Agents
It is argued that the key challenges are bridging the gap between personal and organizational memory, building effective agentic retrieval beyond naive RAG, and enabling organizations to evaluate their agents against their own data through self-serving evals.
Till Döhmen, MotherDuckNetherlands, Jacob Matson et al.
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