# Memory Architecture

Semantic memory uses Qdrant as the vector store. Embeddings come from `/v1/embeddings` when the model backend supports it.

If embeddings are unavailable, `VectorMemory` fails explicitly with `EmbeddingsUnavailableError`; it does not invent a local embedding algorithm.