justrach/emergentDB
🧬 Self-optimizing vector database using MAP-Elites. 51x faster than ChromaDB, 82x faster than LanceDB, 100% recall. Auto-evolves optimal index configs via Quality Diversity.
This project helps operations engineers and developers managing large datasets of high-dimensional data, like text or image embeddings, to achieve lightning-fast search speeds. It takes in your data's numerical representations (embeddings) and automatically configures the best possible settings for your specific workload, outputting a highly optimized search database that can find similar items much quicker and with perfect accuracy.
Use this if you need to perform extremely fast, accurate searches on large volumes of high-dimensional numerical data without manually tuning complex database settings.
Not ideal if your data is small, not in an embedding format, or if you don't require high-performance semantic search capabilities.
Stars
20
Forks
3
Language
Rust
License
AGPL-3.0
Category
Last pushed
Jan 23, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/justrach/emergentDB"
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