leann-core 0.2.1

LEANN is a revolutionary vector database that democratizes personal AI. Transform your laptop into a powerful RAG system that can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss.
Documentation 
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//! LEANN — Lightweight Embedding-Augmented Nearest Neighbors.
//!
//! Build, search, and manage vector indexes with optional graph-based
//! embedding recomputation for 97% storage reduction.
//!
//! # Quick start
//!
//! ```ignore
//! use leann_core::{LeannBuilder, LeannSearcher};
//!
//! // Build an index
//! let mut builder = LeannBuilder::new("model-name", Some(384), "sentence-transformers");
//! builder.add_text("Hello world", Default::default());
//! builder.build_index(&path, &provider)?;
//!
//! // Search
//! let searcher = LeannSearcher::open(&path)?;
//! let results = searcher.search("hello", 5)?;
//! ```

pub mod backend;
#[cfg(feature = "bm25")]
pub(crate) mod bm25;
pub mod builder;
#[cfg(feature = "chat")]
pub mod chat;
pub mod chunking;
pub mod document_loaders;
pub mod embedding;
pub mod hnsw;
pub mod index;
pub(crate) mod metadata_filter;
#[cfg(feature = "multi-vector")]
pub mod multi_vector;
pub mod passages;
#[cfg(feature = "chat")]
pub mod react_agent;
pub mod search_result;
pub mod searcher;
pub(crate) mod settings;
pub mod sources_manifest;
#[cfg(feature = "watch")]
pub mod sync;

pub use backend::{BackendConfig, BackendIndex};
pub use builder::LeannBuilder;
#[cfg(feature = "chat")]
pub use chat::LeannChat;
pub use index::IndexMeta;
pub use metadata_filter::{FilterSpec, MetadataFilterEngine, MetadataFilters};
pub use passages::{Passage, PassageManager};
pub use search_result::SearchResult;
pub use searcher::{LeannSearcher, SearcherOptions};

#[cfg(feature = "bm25")]
pub use bm25::BM25Scorer;