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Switch embedding model from BGE to nomic-embed-text-v1.5

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- Replace BGE-base-en-v1.5 with nomic-embed-text-v1.5
- 8192 token context window (vs 512 for BGE)
- Matryoshka representation learning support
- Fully open source with training data released
- Same 768 dimensions, no schema changes required

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Sam Valladares 2026-01-25 03:11:15 -06:00
parent 449d60754a
commit 5337efdfa7
5 changed files with 20 additions and 19 deletions
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8
crates/vestige-core/src/lib.rs
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@ -4,7 +4,7 @@
//!
//! - **FSRS-6**: 21-parameter spaced repetition (30% more efficient than SM-2)
//! - **Dual-Strength Model**: Bjork & Bjork (1992) storage/retrieval strength
//! - **Semantic Embeddings**: Local fastembed v5 (BGE-base-en-v1.5, 768 dimensions)
//! - **Semantic Embeddings**: Local fastembed v5 (nomic-embed-text-v1.5, 768 dimensions)
//! - **HNSW Vector Search**: USearch (20x faster than FAISS)
//! - **Temporal Memory**: Bi-temporal model with validity periods
//! - **Hybrid Search**: RRF fusion of keyword (BM25/FTS5) + semantic
@ -394,9 +394,9 @@ pub const VERSION: &str = env!("CARGO_PKG_VERSION");
/// FSRS algorithm version (6 = 21 parameters)
pub const FSRS_VERSION: u8 = 6;
/// Default embedding model (2026 GOD TIER: BGE-base-en-v1.5)
/// Upgraded from all-MiniLM-L6-v2 for +30% retrieval accuracy
pub const DEFAULT_EMBEDDING_MODEL: &str = "BAAI/bge-base-en-v1.5";
/// Default embedding model (2026 GOD TIER: nomic-embed-text-v1.5)
/// 8192 token context, Matryoshka support, fully open source
pub const DEFAULT_EMBEDDING_MODEL: &str = "nomic-ai/nomic-embed-text-v1.5";
// ============================================================================
// PRELUDE