docs — kitedb
DOCUMENTATION
$ Learn how to build high-performance graph databases with vector search using KiteDB.
Try:
bun add @kitedb/coreQUICK_START
Getting_Started
Guides
Schema Definition
Define type-safe node and edge schemas
Queries & CRUD
Create, read, update, delete operations
Graph Traversal
Navigate relationships in your graph
Vector Search
Semantic similarity search with embeddings
Transactions
ACID transactions and isolation levels
Performance Checklist
Choose the fastest write path and config presets
Concurrency
Multi-threaded access and parallel reads
API_Reference
Benchmarks
Deep_Dive
Architecture
How KiteDB is structured internally
Snapshot + Delta
The core storage model
CSR Format
How edges are stored for fast traversal
Single-File Format
The .kitedb file layout
WAL & Durability
Crash recovery and write-ahead logging
MVCC & Transactions
Concurrent access and isolation
Key Index
Fast node lookups by key
Performance
Why KiteDB is fast
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