Elasticsearch

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.

Installation and Setup

Setup Elasticsearch

There are two ways to get started with Elasticsearch:

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

Deploy Elasticsearch on Elastic Cloud

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

Install Client

pip

pip install elasticsearch
pip install langchain-elasticsearch

uv add elasticsearch
uv add langchain-elasticsearch

Embedding models

See a usage example.

from langchain_elasticsearch import ElasticsearchEmbeddings

Vector store

See a usage example.

from langchain_elasticsearch import ElasticsearchStore

Third-party integrations

EcloudESVectorStore

from langchain_community.vectorstores.ecloud_vector_search import EcloudESVectorStore

Retrievers

ElasticsearchRetriever

The ElasticsearchRetriever enables flexible access to all Elasticsearch features through the Query DSL.

See a usage example.

from langchain_elasticsearch import ElasticsearchRetriever

BM25

See a usage example.

from langchain_community.retrievers import ElasticSearchBM25Retriever

LLM cache

from langchain_elasticsearch import ElasticsearchCache

Byte Store

See a usage example.

from langchain_elasticsearch import ElasticsearchEmbeddingsCache

Chain

It is a chain for interacting with Elasticsearch Database.

from langchain.chains.elasticsearch_database import ElasticsearchDatabaseChain

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