Vector Databases
SurrealDB
| Parameter | Type | Default | Description |
|---|---|---|---|
client | Optional[Union[BlockingWsSurrealConnection, BlockingHttpSurrealConnection]] | None | A blocking connection, either HTTP or WS |
async_client | Optional[Union[AsyncWsSurrealConnection, AsyncHttpSurrealConnection]] | None | An async connection, either HTTP or WS |
collection | str | "documents" | Collection name to store documents |
distance | Distance | Distance.cosine | Distance metric to use (cosine, l2, or max_inner_product) |
efc | int | 150 | HNSW construction time/accuracy trade-off |
m | int | 12 | HNSW max number of connections per element |
search_ef | int | 40 | HNSW search time/accuracy trade-off |
embedder | Optional[Embedder] | OpenAIEmbedder() | Embedder instance for creating embeddings |