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Chains refer to sequences of calls - whether to an LLM, a tool, or a data preprocessing step. The primary supported way to do this is with LCEL. LCEL is great for constructing your chains, but it's also nice to have chains used off the shelf. There are two types of off-the-shelf chains that LangChain supports:
chains — 🦜🔗 LangChain documentation. LangChain Python API Reference. langchain: 0.3.1. chains # are easily reusable components linked together. Chains encode a sequence of calls to components like models, document retrievers, other Chains, etc., and provide a simple interface to this sequence.
The main langchain package contains chains, agents, and retrieval strategies that make up an application's cognitive architecture. These are NOT third party integrations. All chains, agents, and retrieval strategies here are NOT specific to any one integration, but rather generic across all integrations. langchain-community
Apr 4, 2024 · 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: Core Concepts. LLMs...
Jul 8, 2024 · Learning Objectives. Understand the core components of LangChain, including LLMChains and Sequential Chains, to see how inputs flow through the system. Learn to integrate different elements coherently, exploring the connection between the prompt templates and language models.
Chains refer to sequences of calls - whether to an LLM, a tool, or a data preprocessing step. The primary supported way to do this is with LCEL. LCEL is great for constructing your own chains, but it’s also nice to have chains that you can use off-the-shelf. There are two types of off-the-shelf chains that LangChain supports:
Sep 25, 2023 · In the LangChain framework, “Chains” represent predefined sequences of operations aimed at structuring complex processes into a more manageable and readable format. Chains involve a specific...
Feb 19, 2024 · “Chains” are sequences of components or steps that are linked together to perform a task or process. Each component in a chain is responsible for a particular operation, and the output of one component is passed as input to the next component in the sequence. Previous Chapter:
LangChain is a framework for developing applications powered by large language models (LLMs). For these applications, LangChain simplifies the entire application lifecycle: Open-source libraries: Build your applications using LangChain's open-source building blocks, components, and third-party integrations.
Jun 2, 2024 · LangChain offers a robust framework for working with agents, including: - A standard interface for agents. - A variety of pre-built agents to choose from. - Examples of end-to-end implementations...
