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python3-elasticsearch-curator-5.7.6-1.lbn25.noarch
Elasticsearch Curator helps you curate, or manage, your Elasticsearch indices and snapshots by:
Obtaining the full list of indices (or snapshots) from the cluster, as the actionable list
Iterate through a list of user-defined filters to progressively remove indices (or snapshots) from this actionable list as needed.
Perform various actions on the items which remain in the actionable list.
Curator allows for many different operations to be performed to both indices and snapshots, including:
Add or remove indices (or both!) from an alias
Change shard routing allocation
Close indices
Create index
Delete indices
Delete snapshots
Open closed indices
forceMerge indices
reindex indices, including from remote clusters
Change the number of replicas per shard for indices
rollover indices
Take a snapshot (backup) of indices
Restore snapshots
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BastionLinux 25
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python3-elasticsearch-dbapi-0.2.9-1.lbn36.noarch
ElasticSearch DBAPI [ and SQLAlchemy dialect, that
enables SQL access on elasticsearch clusters for query only access.On Elastic
Elasticsearch: Uses Elastic X-Pack [SQL API](
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BastionLinux 36
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python3-elasticsearch-dsl-2.1.0-1.lbn19.noarch
Elasticsearch DSL Elasticsearch DSL is a highlevel library whose aim
is to help
with writing and running queries against Elasticsearch. It
is built on top of
the official lowlevel client (elasticsearchpy
<https://github.com/elastic/elasticsearchpy>_).It provides a more
convenient
and idiomatic way to write and manipulate queries. It stays
close to the
Elasticsearch JSON DSL, mirroring its ...
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Big Data
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BastionLinux 19
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python3-elasticsearch-dsl-7.0.0-1.lbn25.noarch
Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to
help with writing and running queries against Elasticsearch. It is built on top
of the official low-level client (elasticsearch-py < provides a more convenient
and idiomatic way to write and manipulate queries. It stays close to the
Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the
whole...
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Big Data
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BastionLinux 25
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python3-elasticsearch-dsl-7.0.0-1.lbn25.noarch
Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to
help with writing and running queries against Elasticsearch. It is built on top
of the official low-level client (elasticsearch-py < provides a more convenient
and idiomatic way to write and manipulate queries. It stays close to the
Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the
whole...
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Cloud Computing
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BastionLinux 25
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python3-elasticsearch-dsl-8.9.0-1.lbn36.noarch
Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to
help with writing and running queries against Elasticsearch. It is built on top
of the official low-level client (elasticsearch-py < provides a more convenient
and idiomatic way to write and manipulate queries. It stays close to the
Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the
whole...
Located in
LBN
/
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/
Business
/
BastionLinux 36
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python3-elasticsearch-dsl-8.9.0-1.lbn36.noarch
Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to
help with writing and running queries against Elasticsearch. It is built on top
of the official low-level client (elasticsearch-py < provides a more convenient
and idiomatic way to write and manipulate queries. It stays close to the
Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the
whole...
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Core Linux
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BastionLinux 36
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python3-langchain-elasticsearch-0.3.2-1.lbn36.noarch
langchain-elasticsearch
This package contains the LangChain integration with Elasticsearch.
Installation
pip install -U langchain-elasticsearch
Elasticsearch setup
Elastic Cloud
You need a running Elasticsearch deployment. The easiest way to start one is through Elastic Cloud.
You can sign up for a free trial.
Create a deployment
Get your Cloud ID:
In the Elastic Cloud console, click "Manage" next to your deployment
Copy the Cloud ID and paste it into the es_cloud_id parameter below
Create an API key:
In the Elastic Cloud console, click "Open" next to your deployment
In the left-hand side menu, go to "Stack Management", then to "API Keys"
Click "Create API key"
Enter a name for the API key and click "Create"
Copy the API key and paste it into the es_api_key parameter below
Alternatively, you can run Elasticsearch via Docker as described in the docs.
Usage
ElasticsearchStore
The ElasticsearchStore class exposes Elasticsearch as a vector store.
from langchain_elasticsearch impor
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rsyslog-elasticsearch-8.12.0-3.lbn19.x86_64
This module provides the capability for rsyslog to feed logs directly into
Elasticsearch.
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BastionLinux 19
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rubygem-aws-sdk-elasticsearchservice-1.3.0-1.lbn25.noarch
Official AWS Ruby gem for Amazon Elasticsearch Service. This gem is part of
the AWS SDK for Ruby.
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BastionLinux 25