LLMChain implements the standard Runnable Interface. 🏃. The Runnable Interface has additional methods that are available on runnables, such as with_types, with_retry, assign, bind, get_graph, and more. Bases: Chain. Deprecated since version 0.1.17: Use RunnableSequence, e.g., `prompt | llm` instead. Chain to run queries against LLMs.

llm-chain is a collection of Rust crates designed to help you create advanced LLM applications such as chatbots, agents, and more. As a comprehensive LLM-Ops platform we have strong support for both cloud and locally-hosted LLMs.

Prepare chain inputs, including adding inputs from memory. Parameters: inputs (Dict[str, Any] | Any) – Dictionary of raw inputs, or single input if chain expects only one param. Should contain all inputs specified in Chain.input_keys except for inputs that …

2024年4月4日 · LangChain is a powerful Python library that makes it easier to build applications powered by large language models (LLMs). Here’s a breakdown of its key features and benefits: LLMs as Building...

In this tutorial you've learned how to create your first simple LLM application. You've learned how to work with language models, how to create a prompt template, and how to get great observability into applications you create with LangSmith.

LLM-chain is designed to enable consistent and structured interactions with LLMs, allowing you to build powerful chains of prompts that enable complex tasks step-by-step. You can also use our platform's tools to enhance your AI agent capabilities, such as running Bash commands, executing Python scripts, and performing web searches.

2024年4月8日 · llm-chain是一系列Rust crate的集合,为开发者提供了构建高级LLM应用所需的全套工具和功能。作为一个全面的LLM-Ops平台,llm-chain不仅支持云端LLM,还支持本地部署的LLM,为开发者提供了极大的灵活性。

LangChain has evolved since its initial release, and many of the original "Chain" classes have been deprecated in favor of the more flexible and powerful frameworks of LCEL and LangGraph. This guide will help you migrate your existing v0.0 chains to the new abstractions.

2023年5月27日 · Whether it’s handling multiple documents, iterating over content, or refining outputs, LLM chains provide a flexible and powerful framework for enhancing language model applications.

2024年12月12日 · Central to LangChain is a vital component known as LangChain Chains, forming the core connection among one or several large language models (LLMs). In certain sophisticated applications, it becomes necessary to chain LLMs together, either with each other or with other elements.