ElasticSearch #

Elasticsearch (opens in a new tab) is a distributed, RESTful search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

This notebook shows how to use functionality related to the Elasticsearch database.

Installation #

Check out Elasticsearch installation instructions (opens in a new tab) .

To connect to an Elasticsearch instance that does not require login credentials, pass the Elasticsearch URL and index name along with the embedding object to the constructor.

Example:

        from langchain import ElasticVectorSearch
        from langchain.embeddings import OpenAIEmbeddings

        embedding = OpenAIEmbeddings()
        elastic_vector_search = ElasticVectorSearch(
            elasticsearch_url="http://localhost:9200",
            index_name="test_index",
            embedding=embedding
        )

To connect to an Elasticsearch instance that requires login credentials, including Elastic Cloud, use the Elasticsearch URL format https://username:password@es_host:9243 (opens in a new tab). For example, to connect to Elastic Cloud, create the Elasticsearch URL with the required authentication details and pass it to the ElasticVectorSearch constructor as the named parameter elasticsearch_url.

You can obtain your Elastic Cloud URL and login credentials by logging in to the Elastic Cloud console at https://cloud.elastic.co (opens in a new tab), selecting your deployment, and navigating to the “Deployments” page.

To obtain your Elastic Cloud password for the default “elastic” user:

Log in to the Elastic Cloud console at https://cloud.elastic.co (opens in a new tab)
Go to “Security” > “Users”
Locate the “elastic” user and click “Edit”
Click “Reset password”
Follow the prompts to reset the password

Format for Elastic Cloud URLs is https://username:password@cluster_id.region_id.gcp.cloud.es.io:9243 (opens in a new tab).

Example:

        from langchain import ElasticVectorSearch
        from langchain.embeddings import OpenAIEmbeddings

        embedding = OpenAIEmbeddings()

        elastic_host = "cluster_id.region_id.gcp.cloud.es.io"
        elasticsearch_url = f"https://username:password@{elastic_host}:9243"
        elastic_vector_search = ElasticVectorSearch(
            elasticsearch_url=elasticsearch_url,
            index_name="test_index",
            embedding=embedding
        )

!pip install elasticsearch

import os
import getpass

os.environ['OPENAI_API_KEY'] = getpass.getpass('OpenAI API Key:')

Example #

from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import ElasticVectorSearch
from langchain.document_loaders import TextLoader

from langchain.document_loaders import TextLoader
loader = TextLoader('../../../state_of_the_union.txt')
documents = loader.load()
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
docs = text_splitter.split_documents(documents)

embeddings = OpenAIEmbeddings()

db = ElasticVectorSearch.from_documents(docs, embeddings, elasticsearch_url="http://localhost:9200")

query = "What did the president say about Ketanji Brown Jackson"
docs = db.similarity_search(query)

print(docs[0].page_content)

In state after state, new laws have been passed, not only to suppress the vote, but to subvert entire elections. 

We cannot let this happen. 

Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. 

Tonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service. 

One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. 

And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.

DeepLake Faiss