USearch(
self,
embedding: Embeddings,
index: Any,
docstore: Docstore,
ids: List| Name | Type |
|---|---|
| embedding | Embeddings |
| index | Any |
| docstore | Docstore |
| ids | List[str] |
USearch vector store.
To use, you should have the usearch python package installed.
Run more texts through the embeddings and add to the vectorstore.
Return docs most similar to query.
Return docs most similar to query.
Construct USearch wrapper from raw documents. This is a user friendly interface that: 1. Embeds documents. 2. Creates an in memory docstore 3. Initializes the USearch database This is intended to be a quick way to get started.