Expand description
Vector store — cosine similarity search over memory embeddings.
Provides true vector similarity search using embeddings stored in the Embeddings galaxy (LMDB). Builds an in-memory index from all stored embeddings for fast cosine similarity lookups.
For small-to-medium datasets (<100K memories), brute-force cosine similarity is fast enough (sub-millisecond for 10K vectors at 384 dims). For larger datasets, LanceDB can be added as an optional backend.
Structs§
- Vector
Search Result - A vector search result.
- Vector
Store - In-memory vector index for fast cosine similarity search.
Traits§
- Vector
Search Engine - Trait for pluggable vector search backends.