Vibe-index hits sub-millisecond exact phrase search
A bit-level positional phrase matching engine designed for ultra-low-latency LLM context retrieval without embeddings. By replacing vector-based similarity searches with compressed bitmaps and bitwise operations, it achieves microsecond-level latency and significantly reduces VRAM usage.
Vibe-index offers a surgical alternative to traditional RAG, trading semantic similarity for exact, deterministic matching. It uses Roaring Bitmaps and bitwise Shift-AND operations to find multi-token phrases in 10-15µs, reducing context bloat by up to 80% and KV cache pressure by 5.5x. A hot/cold tiered architecture maintains performance during scaling, while the Rust-based implementation provides a high-performance backend for memory-constrained environments using llama.cpp and vLLM.
DISCOVERED
5h ago
2026-04-24
PUBLISHED
6h ago
2026-04-24
RELEVANCE
AUTHOR
Lost-Health-8675