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Hillock 0.8 is an open-source tool that replaces vector databases for local RAG using SQLite relational facts and 10,000-dimensional bit-packed hypervectors with SIMD/popcount gating, blocking hallucinated answers before token generation under 1.2GB VRAM.
This paper introduces Vector-Symbolic Policy Gradient (VSPG), a novel method that uses vector symbolic architecture for discrete-action policy gradients in reinforcement learning, achieving competitive performance with robust degradation under noise for edge systems.