Lancedb Vector Index Persistence

via “persistent storage with optional in-memory caching”

Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms

Unique: Combines memory-mapped file access with configurable in-memory caching, allowing flexible memory/latency trade-offs without requiring separate cache infrastructure

vs others: Simpler than Redis + Pinecone because caching is built-in; more flexible than pure in-memory solutions because it supports indexes larger than RAM