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python3-kylinpy-2.8.4-1.lbn36.noarch
Apache Kylin Python Client Library
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Core Linux
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BastionLinux 36
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python3-laces-0.1.2-1.lbn36.noarch
Laces 👟
Django components that know how to render themselves.
Laces components provide a simple way to combine data (in the form of Python objects) with the Django templates that are meant to render that data.
The components can then be simply rendered in any other template using the {% component %} template tag.
That parent template does not need to know anything about the component's template or data.
No need to receive, filter, restructure or pass any data to the component's template.
Just let the component render itself.
Template and data are tied together (sorry, not sorry 😅) in the component, and they can be passed around together.
This becomes especially useful when components are nested — it allows us to avoid building the same nested structure twice (once in the data and again in the templates).
Working with objects that know how to render themselves as HTML elements is a common pattern found in complex Django applications, such as the Wagtail admin interface.
The Wagtail
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Business
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BastionLinux 36
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python3-langchain+anthropic-0.3.26-1.lbn36.noarch
This is a metapackage bringing in anthropic extras requires for
python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain+azure-ai-0.3.26-1.lbn36.noarch
This is a metapackage bringing in azure-ai extras requires for
python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain+cohere-0.3.26-1.lbn36.noarch
This is a metapackage bringing in cohere extras requires for python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain+community-0.3.26-1.lbn36.noarch
This is a metapackage bringing in community extras requires for
python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain+fireworks-0.3.26-1.lbn36.noarch
This is a metapackage bringing in fireworks extras requires for
python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain+google-vertexai-0.3.26-1.lbn36.noarch
This is a metapackage bringing in google-vertexai extras requires for
python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain+openai-0.3.26-1.lbn36.noarch
This is a metapackage bringing in openai extras requires for python3-langchain.
It makes sure the dependencies are installed.
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Data Science
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BastionLinux 36
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python3-langchain-0.3.26-1.lbn36.noarch
🦜️🔗 LangChain
Building applications with LLMs through composability
🤔 What is this?
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. However, using these LLMs in isolation is often insufficient for creating a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.
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BastionLinux 36
