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Showing content from https://python.langchain.com/docs/integrations/providers/elasticsearch/ below:

Elasticsearch | 🦜️🔗 LangChain

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.

There are two ways to get started with Elasticsearch:

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

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

pip install elasticsearch
pip install langchain-elasticsearch

See a usage example.

from langchain_elasticsearch import ElasticsearchEmbeddings

See a usage example.

from langchain_elasticsearch import ElasticsearchStore

from langchain_community.vectorstores.ecloud_vector_search import EcloudESVectorStore

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

See a usage example.

from langchain_elasticsearch import ElasticsearchRetriever

See a usage example.

from langchain_community.retrievers import ElasticSearchBM25Retriever

See a usage example.

from langchain_elasticsearch import ElasticsearchChatMessageHistory

See a usage example.

from langchain_elasticsearch import ElasticsearchCache

See a usage example.

from langchain_elasticsearch import ElasticsearchEmbeddingsCache

It is a chain for interacting with Elasticsearch Database.

from langchain.chains.elasticsearch_database import ElasticsearchDatabaseChain

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

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