Elasticsearch is a distributed, RESTful search and analytics engine. It provides a distributed, multi-tenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

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Installation and Setup

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Setup Elasticsearch

There are two ways to get started with Elasticsearch:

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Install Elasticsearch on your local machine via Docker

Example: Run a single-node Elasticsearch instance with security disabled. This is not recommended for production use. 
    docker run -p 9200:9200 -e "discovery.type=single-node" -e "xpack.security.enabled=false" -e "xpack.security.http.ssl.enabled=false" docker.elastic.co/elasticsearch/elasticsearch:8.9.0

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Deploy Elasticsearch on Elastic Cloud

Elastic Cloud is a managed Elasticsearch service. Signup for a free trial.

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Install Client

pip install elasticsearch
pip install langchain-elasticsearch

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Embedding models

See a usage example. 
from langchain_elasticsearch import ElasticsearchEmbeddings

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Vector store

See a usage example. 
from langchain_elasticsearch import ElasticsearchStore

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Third-party integrations

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EcloudESVectorStore

from langchain_community.vectorstores.ecloud_vector_search import EcloudESVectorStore

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Retrievers

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ElasticsearchRetriever

The ElasticsearchRetriever enables flexible access to all Elasticsearch features through the Query DSL. See a usage example. 
from langchain_elasticsearch import ElasticsearchRetriever

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BM25

See a usage example. 
from langchain_community.retrievers import ElasticSearchBM25Retriever

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Memory

See a usage example. 
from langchain_elasticsearch import ElasticsearchChatMessageHistory

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LLM cache

See a usage example. 
from langchain_elasticsearch import ElasticsearchCache

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Byte Store

See a usage example. 
from langchain_elasticsearch import ElasticsearchEmbeddingsCache

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Chain

It is a chain for interacting with Elasticsearch Database. 
from langchain.chains.elasticsearch_database import ElasticsearchDatabaseChain