ManticoreSearch(
self,
embedding: Embeddings,
*,
config: Optional[ManticoreSearchSettings] = None,| Name | Type | Description |
|---|---|---|
embedding* | Embeddings | |
config | ManticoreSearchSettings | Default: None |
**kwargs | Any | Default: {} |
| Name | Type |
|---|---|
| embedding | Embeddings |
| config | Optional[ManticoreSearchSettings] |
ManticoreSearch Engine vector store.
To use, you should have the manticoresearch python package installed.
Example:
.. code-block:: python
from langchain_community.vectorstores import Manticore from langchain_community.embeddings.openai import OpenAIEmbeddings
embeddings = OpenAIEmbeddings() vectorstore = ManticoreSearch(embeddings)
Text embedding model.
Configuration of ManticoreSearch Client
Other keyword arguments will pass into Configuration of API client manticoresearch-python. See https://github.com/manticoresoftware/manticoresearch-python for more.
Insert more texts through the embeddings and add to the VectorStore.
Perform a similarity search with ManticoreSearch
Perform a similarity search with ManticoreSearch by vectors
Helper function: Drop data