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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.
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 25, 2022 · LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications. 📚 Retrieval Augmented Generation: Retrieval Augmented Generation involves specific types of chains that first interact with an external data source to fetch data for use in the generation step.
Mar 6, 2024 · Project Overview. Step 1: Get Familiar With LangChain. Chat Models. Prompt Templates. Chains and LangChain Expression Language (LCEL) Retrieval Objects. Agents. Step 2: Understand the Business Requirements and Data. Understand the Problem and Requirements. Explore the Available Data. Design the Chatbot. Step 3: Set Up a Neo4j Graph Database.
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.
Apr 22, 2024 · LangChain is an open-source Python library that simplifies the process of building applications with LLMs. It provides tools and abstractions to help you integrate LLMs into your projects, create robust chains and agents, and manage memory and storage.
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.
LangChain Libraries: The Python and JavaScript libraries. Contains interfaces and integrations for a myriad of components, a basic run time for combining these components into chains and agents, and off-the-shelf implementations of chains and agents.
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.
