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 Setupโ
Setup Elasticsearchโ
There are two ways to get started with Elasticsearch:
Install Elasticsearch on your local machine via Dockerโ
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 Cloudโ
Elastic Cloud
is a managed Elasticsearch service. Signup for a free trial.
Install Clientโ
pip install elasticsearch
pip install langchain-elasticsearch
Embedding modelsโ
See a usage example.
from langchain_elasticsearch import ElasticsearchEmbeddings
Vector storeโ
See a usage example.
from langchain_elasticsearch import ElasticsearchStore
Third-party integrationsโ
EcloudESVectorStoreโ
from langchain_community.vectorstores.ecloud_vector_search import EcloudESVectorStore
API Reference:EcloudESVectorStore
Retrieversโ
ElasticsearchRetrieverโ
The ElasticsearchRetriever
enables flexible access to all Elasticsearch features
through the Query DSL.
See a usage example.
from langchain_elasticsearch import ElasticsearchRetriever
BM25โ
See a usage example.
from langchain_community.retrievers import ElasticSearchBM25Retriever
API Reference:ElasticSearchBM25Retriever
Memoryโ
See a usage example.
from langchain_elasticsearch import ElasticsearchChatMessageHistory
LLM cacheโ
See a usage example.
from langchain_elasticsearch import ElasticsearchCache
Byte Storeโ
See a usage example.
from langchain_elasticsearch import ElasticsearchEmbeddingsCache
Chainโ
It is a chain for interacting with Elasticsearch Database.
from langchain.chains.elasticsearch_database import ElasticsearchDatabaseChain
API Reference:ElasticsearchDatabaseChain