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LangChain is a framework for developing applications powered by large language models (LLMs). LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source building blocks, components, and third-party integrations .
In this quickstart we'll show you how to: Get setup with LangChain, LangSmith and LangServe. Use the most basic and common components of LangChain: prompt templates, models, and output parsers. Use LangChain Expression Language, the protocol that LangChain is built on and which facilitates component chaining.
Jun 25, 2024 · 🔗 Chains: Chains go beyond a single LLM call and involve sequences of calls (whether to an LLM or a different utility). LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.
Jun 3, 2024 · LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). It provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.
langchain: Chains, agents, and retrieval strategies that make up an application's cognitive architecture. LangGraph : A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph.
Tutorials | 🦜️🔗 LangChain. New to LangChain or to LLM app development in general? Read this material to quickly get up and running. Basics. Build a Simple LLM Application with LCEL. Build a Chatbot. Build vector stores and retrievers. Build an Agent. Working with external knowledge. Build a Retrieval Augmented Generation (RAG) Application.
Oct 13, 2023 · LangChain is a software development framework that makes it easier to create applications using large language models (LLMs). It’s an open-source tool with a Python and JavaScript codebase.
Overview. LangChain now integrates with Multion API, enhancing its NLP application development capabilities. This addition complements the existing OpenAI API, offering advanced functionalities for chatbots and automated writing assistants. For detailed information, visit: LangChain Introduction. Workflow in LangChain.
Jun 28, 2024 · The Chain interface makes it easy to create apps that are: Stateful: add Memory to any Chain to give it state, Observable: pass Callbacks to a Chain to execute additional functionality, like logging, outside the main sequence of component calls, Composable: combine Chains with other components, including other Chains. Class hierarchy:
LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications. Indexes: Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.
