# velesdb | Wiscale | Knowledge Base | Instagit

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language.  Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

GitHub Stars: 27

Repository: https://github.com/cyberlife-coder/velesdb

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## Articles

### [How to Build and Compile VelesDB from Source: Complete Installation Guide](/cyberlife-coder/velesdb/velesdb-build-compile-from-source)

Learn to build and compile VelesDB from source with this complete installation guide. Follow simple steps to get the VelesDB binaries ready for use.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Manage Database Collections and Data in VelesDB](/cyberlife-coder/velesdb/velesdb-manage-database-collections-data)

Learn to manage VelesDB database collections and data. Explore vector, metadata, and graph types for efficient storage, upserts, and indexed queries using the Database and Collection structs.

- Tags: how-to-guide
- Published: 2026-02-28

### [VelesDB Local-First Database: Architecture, Performance, and Trade-offs](/cyberlife-coder/velesdb/velesdb-local-first-database-implications)

Explore VelesDB's local-first architecture for sub-millisecond vector search. Eliminate network overhead and cloud costs with this efficient in-process database.

- Tags: architecture
- Published: 2026-02-28

### [How VelesDB WASM Integration Works for Browser-Based Applications](/cyberlife-coder/velesdb/velesdb-wasm-integration-browser)

Discover how VelesDB WASM integration enables browser-based vector search. Explore its Rust core compiled with wasm-bindgen and the TypeScript SDK for efficient client-side operations. Learn more today.

- Tags: internals
- Published: 2026-02-28

### [Use Cases for VelesDB's ColumnStore Feature: High-Throughput Metadata Filtering and Hybrid Search](/cyberlife-coder/velesdb/velesdb-columnstore-use-cases)

Discover VelesDBs ColumnStore use cases for lightning fast metadata filtering at over 50 million items per second. Optimize recommendation engines and hybrid search queries.

- Tags: use-cases
- Published: 2026-02-28

### [How to Achieve High Recall Rates in VelesDB's Accurate Search Mode](/cyberlife-coder/velesdb/velesdb-high-recall-accurate-mode)

Achieve high recall rates in VelesDB accurate search mode. Optimize with the `accurate` preset, `ef_search`, and two-stage reranking for guaranteed ≥95% recall on collections up to 100k points.

- Tags: best-practices
- Published: 2026-02-28

### [VelesDB Mobile Deployment: A Complete Guide to iOS and Android Integration](/cyberlife-coder/velesdb/velesdb-mobile-deployment-ios-android)

Deploy VelesDB on iOS and Android with the velesdb-mobile crate. This guide details native integration using UniFFI-generated Swift and Kotlin bindings for seamless mobile deployment.

- Tags: how-to-guide
- Published: 2026-02-28

### [How VelesDB's Storage Layer Combines Memory-Mapped Files and WAL for High-Performance Vector Storage](/cyberlife-coder/velesdb/velesdb-storage-memory-mapped-files-wal)

Discover how VelesDB's storage layer uses memory-mapped files and WAL for efficient zero-copy vector access and durable payload storage, boosting performance.

- Tags: internals
- Published: 2026-02-28

### [VelesDB Multi-Score Fusion Strategies: RRF, Average, Max, and Weighted Explained](/cyberlife-coder/velesdb/velesdb-multi-score-fusion-strategies)

Explore VelesDB's multi-score fusion strategies like RRF, Average, Max, and Weighted. Learn how VelesDB combines ranked results from multiple query vectors for unified rankings.

- Tags: deep-dive
- Published: 2026-02-28

### [How VelesDB Implements Approximate Nearest Neighbor Search with HNSW](/cyberlife-coder/velesdb/velesdb-approximate-nearest-neighbor-hnsw-implementation)

Discover how VelesDB implements approximate nearest neighbor search with HNSW using its native Rust engine. Explore SIMD acceleration, hierarchical traversal, and adaptive multi-probe strategies for efficient search.

- Tags: deep-dive
- Published: 2026-02-28

### [VelesQL Syntax for Filtering Data Based on Vector Similarity: A Complete Guide](/cyberlife-coder/velesdb/velesql-syntax-vector-similarity-filtering)

Master VelesQL syntax for vector similarity filtering. Learn how to use similarity predicates in WHERE clauses to efficiently search your VelesDB with HNSW index support.

- Tags: how-to-guide
- Published: 2026-02-28

### [How VelesDB Handles Graph Traversal Using BFS and DFS: A Technical Deep Dive](/cyberlife-coder/velesdb/velesdb-graph-traversal-bfs-dfs)

Discover how VelesDB tackles graph traversal with efficient BFS and DFS in pure Rust. Explore configurable options and multi-platform support for your graph database needs.

- Tags: deep-dive
- Published: 2026-02-28

### [VelesDB Zero-Dependency Binary Benefits: Deploy a 15 MB AI Database Anywhere](/cyberlife-coder/velesdb/velesdb-zero-dependency-small-binary-benefits)

Discover VelesDB's zero-dependency, 15MB binary AI database. Deploy instantly anywhere cloud edge or air-gapped without installs. Experience unparalleled flexibility.

- Tags: getting-started
- Published: 2026-02-28

### [VelesDB SDKs for Python, TypeScript, and Mobile: A Complete Technical Guide](/cyberlife-coder/velesdb/velesdb-available-sdks-python-typescript-mobile)

Explore VelesDB SDKs for Python, TypeScript, and mobile to build powerful vector search applications. Discover unified Rust core for server, web, and mobile.

- Tags: tutorial
- Published: 2026-02-28

### [How to Set Up and Use the VelesDB REST API Server: A Complete Guide](/cyberlife-coder/velesdb/velesdb-rest-api-server-setup)

Learn to set up and use the VelesDB REST API server. This guide covers Axum-based vector database operations via HTTP, installation with Cargo, Docker, or source, and OpenAPI documentation.

- Tags: how-to-guide
- Published: 2026-02-28

### [VelesDB Architecture: From Client SDKs to the Persistent Storage Layer](/cyberlife-coder/velesdb/velesdb-architecture-overview)

Explore the VelesDB architecture from client SDKs to its persistent storage layer. Understand its modular, layered stack featuring an Axum HTTP server, HNSW vector engine, and WAL durable storage.

- Tags: architecture
- Published: 2026-02-28

### [How to Perform Hybrid Search Combining Vector, Graph, and BM25 in VelesDB](/cyberlife-coder/velesdb/velesdb-hybrid-search-vector-graph-bm25)

Learn hybrid search in VelesDB by combining vector, graph, and BM25 with Reciprocal Rank Fusion. Control semantic and keyword relevance with vector_weight.

- Tags: how-to-guide
- Published: 2026-02-28

### [VelesDB SQ8 vs Binary Vector Quantization: Trade-offs and Implementation Guide](/cyberlife-coder/velesdb/velesdb-quantization-sq8-vs-binary-tradeoffs)

Explore VelesDB SQ8 vs Binary quantization trade-offs. Discover which is best for your needs: high compression with SQ8 or massive savings with Binary.

- Tags: deep-dive
- Published: 2026-02-28

### [How VelesQL Supports Graph Queries and Pattern Matching in VelesDB](/cyberlife-coder/velesdb/velesql-graph-queries-pattern-matching)

Discover how VelesQL enables powerful graph queries and pattern matching in VelesDB using a Cypher-style MATCH clause, AST execution, and versatile API access.

- Tags: how-to-guide
- Published: 2026-02-28

### [Supported Distance Metrics in VelesDB: A Complete Guide to Vector Similarity Search](/cyberlife-coder/velesdb/velesdb-distance-metrics-selection)

Explore VelesDB supported distance metrics like Cosine, Euclidean, and DotProduct for fast vector similarity search. Learn when to use each for optimal performance.

- Tags: deep-dive
- Published: 2026-02-28

### [How to Use SIMD Optimizations (AVX-512, AVX2, NEON, WASM SIMD128) in VelesDB](/cyberlife-coder/velesdb/velesdb-simd-optimizations-usage)

Discover how VelesDB automatically leverages SIMD optimizations like AVX-512, AVX2, NEON, and WASM SIMD128. Experience enhanced performance without manual configuration thanks to runtime CPU feature detection.

- Tags: how-to-guide
- Published: 2026-02-28

### [Performance Characteristics of VelesDB's HNSW Index: Speed, Recall, and Memory Trade-offs](/cyberlife-coder/velesdb/velesdb-hnsw-index-performance)

Explore VelesDB's HNSW index performance. Achieve up to 99% recall at 500 µs or 92% at 150 µs. Learn about speed, recall, and memory trade-offs.

- Tags: performance
- Published: 2026-02-28

### [How VelesDB Unifies Vector Search, Graph Databases, and Column Stores](/cyberlife-coder/velesdb/how-velesdb-unifies-vector-search-graph-column-stores)

Discover how VelesDB unifies vector search graph databases and column stores using its VelesQL engine for powerful hybrid queries in one SQL-like syntax.

- Tags: deep-dive
- Published: 2026-02-28