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Sub-millisecond keyword localization powered by our in-memory token inverted index. Searches across research questions, hypotheses, architectures, and empirical findings.
Found 2 matching investigations
Execution Engine: In-Memory Inverted Index (TF-IDF Scored)RS-005VALIDATEDAI SystemsAlgorithms
Relevance Score: 1.000Memory-Bounded LRU Caches for Vector Embedding Pipelines
Investigating deterministic cache eviction policies for multi-dimensional float32 embeddings in resource-constrained container environments.
Core Question: Can an intrusive doubly-linked list LRU cache bound vector memory consumption within ±2% of a fixed heap budget?Inspect Workbench
RS-001VALIDATEDAI SystemsArchitectureAlgorithms
Relevance Score: 1.000Deterministic State Machines & Token Inverted Index for Agentic Retrieval
An investigation into eliminating non-deterministic hallucinations in LLM retrieval by pairing a deterministic finite state machine with a memory-bounded token inverted index, demonstrating sub-millisecond keyword localization and zero invalid state transitions.
Core Question: Can a formally defined finite state machine coupled with an in-memory token inverted index provide provably bounded, zero-drift retrieval across deep engineering knowledge graphs?Inspect Workbench