Use Cases

The Intelligence Layer Behind
Modern AI

From RAG pipelines to edge robotics, Endee is the vector database teams reach for when performance and reliability matter.

Retrieval-Augmented Generation (RAG)

Ground LLM responses in your documents. Endee retrieves the most relevant context so models answer accurately from real data.

Search by meaning, not keywords. Handle typos, synonyms, and cross-lingual queries with dense vector retrieval at scale.

Serve real-time product, content, or user recommendations powered by item and user embeddings stored in Endee.

Give autonomous agents a persistent, searchable memory layer. Agents store and retrieve experiences across sessions.

Run vector search fully on-device with sub-10ms latency and zero cloud dependency on Raspberry Pi, Android, and Jetson.

Search across images, text, and audio in a unified vector space. Query with any modality and retrieve across all content types.

Detect anomalies, find behavioral patterns, and surface insights from logs, telemetry, and events using vector similarity.