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### Description This PR moves the Elasticsearch classes to a partners package. Note that we will not move (and later remove) `ElasticKnnSearch`. It were previously deprecated. `ElasticVectorSearch` is going to stay in the community package since it is used quite a lot still. Also note that I left the `ElasticsearchTranslator` for self query untouched because it resides in main `langchain` package. ### Dependencies There will be another PR that updates the notebooks (potentially pulling them into the partners package) and templates and removes the classes from the community package, see https://github.com/langchain-ai/langchain/pull/17468 #### Open question How to make the transition smooth for users? Do we move the import aliases and require people to install `langchain-elasticsearch`? Or do we remove the import aliases from the `langchain` package all together? What has worked well for other partner packages? --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
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| README.md | ||
langchain-elasticsearch
This package contains the LangChain integration with Elasticsearch.
Installation
pip install -U langchain-elasticsearch
TODO document how to get id and key
Usage
The ElasticsearchStore class exposes the connection to the Pinecone vector store.
from langchain_elasticsearch import ElasticsearchStore
embeddings = ... # use a LangChain Embeddings class
vectorstore = ElasticsearchStore(
es_cloud_id="your-cloud-id",
es_api_key="your-api-key",
index_name="your-index-name",
embeddings=embeddings,
)