emergentDB

Origin

Traditional vector databases use fixed index configurations chosen by engineers who guess at optimal parameters. emergentDB refuses to guess. Using MAP-Elites — a quality-diversity algorithm from evolutionary computation — it evolves its own index configurations, discovering strategies that outperform hand-tuned alternatives by orders of magnitude. 51x faster than ChromaDB. 82x faster than LanceDB. 100% recall. No configuration required.

Attributes

Capabilities

• Self-optimizing indexes via MAP-Elites evolution
• 51x faster than ChromaDB on standard benchmarks
• 82x faster than LanceDB on standard benchmarks
• 100% recall guarantee — zero accuracy compromise
• Quality Diversity algorithm explores the full config space
• Zero-config — optimal parameters discovered automatically

Invoke

use emergentdb::EmergentDB;

let db = EmergentDB::new()
    .with_dimensions(1536)
    .build()?;

// Add vectors — index auto-evolves
db.add(embeddings, metadata)?;

// Query with guaranteed 100% recall
let results = db.query(
    &query_vector,
    top_k: 10,
)?;