rexis-rag 0.1.0

Rexis RAG - High-performance Retrieval-Augmented Generation framework with memory-first agents, vector search, and LLM integration
Documentation 
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//! # Enhanced Retrieval Module
//!
//! Provides multiple retrieval strategies including hybrid search combining
//! semantic and keyword-based approaches for optimal performance.

pub mod bm25;
pub mod fusion;
pub mod hybrid;
pub mod semantic;

pub use bm25::{BM25Config, BM25Retriever, TokenizerType};
pub use fusion::{RankFusion, ReciprocalRankFusion, WeightedFusion};
pub use hybrid::{FusionStrategy, HybridConfig, HybridRetriever};
pub use semantic::{SemanticConfig, SemanticRetriever};

// Re-export core retrieval types from parent module
pub use crate::retrieval_core::{
    InMemoryRetriever, QueryType, RetrievalService, Retriever, SearchAlgorithm, SearchConfig,
    SearchQuery, SearchResult,
};