Crate velesdb_core 

VelesDB Core

High-performance vector database engine written in Rust.

VelesDB is a local-first vector database designed for semantic search, recommendation systems, and RAG (Retrieval-Augmented Generation) applications.

Features

• Blazing Fast: HNSW index with SIMD-optimized distance calculations
• Persistent Storage: Memory-mapped files for efficient disk access
• Simple API: Easy-to-use interface for vector operations

Quick Start

use velesdb_core::{Database, Collection, DistanceMetric};

// Create a new database
let db = Database::open("./data")?;

// Create a collection
let collection = db.create_collection("documents", 768, DistanceMetric::Cosine)?;

// Insert vectors
collection.upsert(vec![
    Point::new(1, vec![0.1, 0.2, ...], json!({"title": "Hello World"})),
])?;

// Search for similar vectors
let results = collection.search(&query_vector, 10)?;

Re-exports

pub use index::HnswIndex;

pub use index::HnswParams;

pub use index::SearchQuality;

pub use index::VectorIndex;

pub use collection::Collection;

pub use distance::DistanceMetric;

pub use error::Error;

pub use error::Result;

pub use filter::Condition;

pub use filter::Filter;

pub use point::Point;

pub use quantization::BinaryQuantizedVector;

pub use quantization::QuantizedVector;

pub use quantization::StorageMode;

pub use column_store::ColumnStore;

pub use column_store::ColumnType;

pub use column_store::ColumnValue;

pub use column_store::StringId;

pub use column_store::StringTable;

pub use column_store::TypedColumn;

Modules

collection

Collection management for VelesDB.

column_store

Column-oriented storage for high-performance metadata filtering.

distance

Distance metrics for vector similarity calculations.

error

Error types for VelesDB.

filter

Metadata filtering for vector search.

index

Index implementations for efficient vector search.

point

Point data structure representing a vector with metadata.

quantization

Scalar Quantization (SQ8) for memory-efficient vector storage.

simd

SIMD-optimized vector operations for high-performance distance calculations.

simd_explicit

Explicit SIMD optimizations using the wide crate for portable vectorization.

storage

Storage backends for persistent vector storage.

velesql

VelesQL - SQL-like query language for VelesDB.

Structs

Database

Database instance managing collections and storage.