TOKEN SEARCH ENGINE

Research Search Workbench

Sub-millisecond keyword localization powered by our in-memory token inverted index. Searches across research questions, hypotheses, architectures, and empirical findings.

Found 3 matching investigations

Execution Engine: In-Memory Inverted Index (TF-IDF Scored)

RS-005VALIDATEDAI SystemsAlgorithms

Relevance Score: 1.000

Memory-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-002VALIDATEDArchitectureAlgorithms

Relevance Score: 1.000

Bounded Graph Traversal & Adjacency Mapping for Engineering Knowledge

A study on representing multi-entity software engineering dependencies using memory-bounded adjacency maps and cycle-detected BFS traversals, avoiding graph database overhead while delivering sub-5ms multi-hop link discovery.

Core Question: Can relational adjacency tables coupled with an in-memory BFS engine provide sub-5ms 3-hop traversal with zero cycle blowups?Inspect Workbench

RS-001VALIDATEDAI SystemsArchitectureAlgorithms

Relevance Score: 1.000

Deterministic 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