Search by meaning, not keywords.
Replace brittle keyword matching with neural search that understands intent. Endee powers low-latency semantic retrieval across documents, products, code, audio and video at any scale.
Capabilities
Production semantic search, every dimension covered
Multi-lingual & Cross-lingual
A Spanish query finds English documents. One index, every language. Use multilingual embeddings (Cohere multilingual-v3, mE5) so users search in their native language without needing separate per-language indices.
Filtered ANN Search
Apply metadata filters inside the ANN graph traversal, not post-retrieval. Category, price range, date, custom tags. You get relevance-ranked results that also satisfy hard constraints with zero recall penalty.
Highest Throughput
Independently verified as the highest QPS of all tested databases on the Cohere 10M benchmark at 768 dimensions. Handle production traffic on a single node that others require a cluster to serve.
99%+ Recall
Endee maintains greater than 99% recall at one billion vectors. The Vector Graph Engine (VGE) combines HNSW graph algorithms with hardware-aware memory optimization to keep recall stable at any scale.
50+ Languages (Enterprise)
Enterprise builds support 50+ languages including Korean, Chinese, Japanese, Arabic, Hindi, and more. The open-source version supports major European and Latin American languages.
Sub-5ms Latency
p99 latency under 5ms at scale using the Vector Graph Engine and adaptive quantization. Users see results instantly, no batching, no warming, no precomputed result caches.
50+ Languages
One index, every language
In Practice
What teams build with semantic search
E-commerce product search
Find products from natural language descriptions,"comfortable running shoes under $150."
Enterprise document search
Surface policies, contracts, and guides with questions instead of keyword hunts.
Job board matching
"Senior backend engineer" finds all relevant listings regardless of exact title phrasing.
Support article deflection
Return the most relevant help articles for any user issue, reducing ticket volume.