Module agentdb 

L2 Vector Database - AgentDB Integration

Performance targets:

• Vector search: <1ms (p95)
• HNSW index: 150x faster than linear scan
• Batch insert: <10ms for 1000 vectors

Re-exports

pub use vector_store::VectorStore;

pub use vector_store::SearchResult;

pub use embeddings::EmbeddingProvider;

pub use embeddings::Embedding;

pub use storage::StorageBackend;

pub use storage::PersistentStore;

Modules

embeddings

Embedding generation for semantic search

storage

Persistent storage backend for vectors and metadata

vector_store

Vector store with semantic search capabilities