Vector compression. Redefined.
EigenDB leverages the intrinsic structure of embedding spaces to achieve extreme compression while maintaining >95% precision.
EigenDB
Vector embeddings are fundamental for RAG, semantic search, and knowledge bases. EigenDB discovers the intrinsic structure of these spaces to compress up to 40× without retraining.
40× Compression
Dramatically reduce storage costs without sacrificing search quality.
>95% Precision
Maintains semantic fidelity of your original embeddings.
Zero Training
Works on any existing embedding model without retraining.
See It Work
Real compression on real data. Try with our demo or upload your own embeddings.
Click to analyze 1,000 random embeddings and see compression results
Use Cases
Vector databases at scale
RAG with millions of documents
Semantic search on edge devices
Real Numbers
Validated on production data. No cherry-picking.
EigenDB Performance
EigenDB vs. The Competition
Real benchmarks on 384-dimensional embeddings (sentence-transformers)
| Metric | FAISSVerified | ChromaVerified | ElasticsearchVerified | WeaviateVerified | Pinecone | EigenDBVerified |
|---|---|---|---|---|---|---|
| Compression | 1x | 1x | 1x | 1x | 1x | 24xWinner |
| Recall@10 | 100% | 100% | 100% | 100% | 95%+ | 100% |
| Storage Cost | 100% | 100% | 100% | 100% | 100% | 4% |
| Search Latency | 1.39ms | 0.56ms | 5.86ms | 1.09ms | 26-60ms | 0.04ms |
| Index Build | 0.16ms | 40.5ms | 861ms | 1298ms | managed | 0.019ms |
Dataset: 500 embeddings, 384D (sentence-transformers/all-MiniLM-L12-v2). Benchmarks run on local hardware.
FAISS, Chroma, Elasticsearch, Weaviate: our benchmarks. Pinecone: official documentation data.
They don't compress. We do.
All competitors store 100% of dimensions. EigenDB compresses 24x while maintaining 100% recall. Less data = lower cost = same quality.
Fundamental Research
While our products solve immediate problems, our research aims further
Neural Ontology
Validated with real data: EEG, mouse neurons, human cognition
26/27 Tests Passed
Fundamental cognition principles verified experimentally
KAIROS Framework
Emergent intelligence from first principles
“We don't just build tools. We're redefining how intelligence emerges.”