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Abstract

hrough</a> and seamlessly integrate with LangSmith by signing up <a href="https://smith.langchain.com/?ref=blog.langchain.dev">here</a>. Additionally, you can sign up for the hosted version of LangServe <a href="https://airtable.com/app0hN6sd93QcKubv/shrAjst60xXa6quV2?ref=blog.langchain.dev">here</a>.</p><h2 id="adf2">Additional Resources</h2><p id="2f03">Explore the many <a href="https://github.com/langchain-ai/langchain/blob/master/templates/docs/INDEX.md?ref=blog.langchain.dev">Featured Templates</a> and <a href="https://github.com/langchain-ai/langchain/tree/master/templates?ref=blog.langchain.dev">All Templates</a>. If you want to contribute your own template, check out the <a href="https://github.com/langchain-ai/langchain/blob/master/templates/docs/CONTRIBUTING.md?ref=blog.langchain.dev">Contributing instructions</a>. Learn more about LangServe and attend the LangServe webinar by registering <a href="https://www.crowdcast.io/c/zcl2p0y0wrvd?ref=blog.langchain.dev">here</a>.</p><h2 id="b512">Motivation</h2><p id="685b">LangChain Templates were developed to address the growing demand from developers to create different types of context-aware reasoning applications, understand and modify application internals, and deploy applications quickly.</p><h2 id="8575">What are LangChain Templates</h2><p id="0b27">LangChain Templates offer a collection of easily deployable reference architectures for creating different types of applications. These templates are in a standard format, making them easy to deploy with LangServe. You can create a project, download a module into the application project, inspect and modify a chain, and deploy the whole project using LangServe.</p><h2 id="ac0d">What is in LangChain Templates</h2><p id="0673">LangChain Templates

Options

enable the addition of a variety of chains and agents, including OSS models, advanced RAG, and use case-specific chains.</p><h2 id="b21d">How LangChain Templates Solve Problems</h2><p id="5610">LangChain Templates address the need for developers to create, understand, modify, and deploy applications by offering a standard format for deploying with LangServe and allowing the source code for chains and agents to be easily inspected and modified.</p><h2 id="f310">Conclusion</h2><p id="74c3">LangChain Templates represent a significant step towards making it easier for developers to build context-aware reasoning applications. The community’s contributions and feedback have been invaluable in advancing this initiative.</p><div id="1f85" class="link-block"> <a href="https://readmedium.com/langchain-what-is-the-spade-tool-for-automatically-digging-up-evals-based-on-prompt-refinements-d40ea48bd484"> <div> <div> <h2>LANGCHAIN — What Is the Spade Tool for Automatically Digging Up Evals Based on Prompt Refinements?</h2> <div><h3>Computer science is no more about computers than astronomy is about telescopes. — Edsger W. Dijkstra.</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*nu7ZXSdSXeo6aCLEJYoZpg.jpeg)"></div> </div> </div> </a> </div><p id="d899">By using LangChain Templates, developers can quickly create, understand, modify, and deploy context-aware reasoning applications. These templates provide a powerful and efficient way for developers to harness the capabilities of LangChain.</p></article></body>

LANGCHAIN — What Are Langchain Templates?

Technology makes it possible for people to gain control over everything, except over technology. — John Tudor.

LangChain Templates offer a collection of easily deployable reference architectures that anyone can use. These templates are a new way to create, share, maintain, download, and customize chains and agents. They are in a standard format, allowing them to be easily deployed with LangServe, providing production-ready APIs and a playground for free.

Key Links

To get started, refer to the Quick Start guide. You can also watch a YouTube walkthrough and seamlessly integrate with LangSmith by signing up here. Additionally, you can sign up for the hosted version of LangServe here.

Additional Resources

Explore the many Featured Templates and All Templates. If you want to contribute your own template, check out the Contributing instructions. Learn more about LangServe and attend the LangServe webinar by registering here.

Motivation

LangChain Templates were developed to address the growing demand from developers to create different types of context-aware reasoning applications, understand and modify application internals, and deploy applications quickly.

What are LangChain Templates

LangChain Templates offer a collection of easily deployable reference architectures for creating different types of applications. These templates are in a standard format, making them easy to deploy with LangServe. You can create a project, download a module into the application project, inspect and modify a chain, and deploy the whole project using LangServe.

What is in LangChain Templates

LangChain Templates enable the addition of a variety of chains and agents, including OSS models, advanced RAG, and use case-specific chains.

How LangChain Templates Solve Problems

LangChain Templates address the need for developers to create, understand, modify, and deploy applications by offering a standard format for deploying with LangServe and allowing the source code for chains and agents to be easily inspected and modified.

Conclusion

LangChain Templates represent a significant step towards making it easier for developers to build context-aware reasoning applications. The community’s contributions and feedback have been invaluable in advancing this initiative.

By using LangChain Templates, developers can quickly create, understand, modify, and deploy context-aware reasoning applications. These templates provide a powerful and efficient way for developers to harness the capabilities of LangChain.

Langchain
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