Langchain tools list. Its architecture allows developers to integrate LLMs with external data, prompt engineering, retrieval-augmented generation (RAG), semantic search, and agent workflows. Find out how to use them with your models and chains, and see the list of available tools and toolkits. Learn about the tools and toolkits that Langchain offers for various tasks and integrations. Below is a detailed walkthrough of LangChain’s main modules, their roles, and code examples, following the latest Some LLMs, in addition to generating text, can also trigger actions. All LLMs supporting tools can be found here (see the "Tools" column). Not all LLMs support tools equally well. They cover various categories, such as search, code interpreter, productivity, web browsing, database, finance, and more. . The ability to understand, select, and correctly use tools depends heavily on the specific model and its capabilities. At the core of Jul 4, 2025 · LangChain is a modular framework designed to build applications powered by large language models (LLMs). May 16, 2025 · This page provides an overview of the core tools architecture and the various tool categories available in LangChain. Feb 15, 2025 · LangChain, an open-source framework, has emerged as a powerful tool for developing applications that integrate language models with external tools, knowledge bases, and APIs. Tools in LangChain are modular components that extend the capabilities of language models by allowing them to perform specific actions or access external systems. LangChain Tools are utilities designed to be called by a model, such as a language model or an agent. laett htcv xpny iikfmd izpiwr lbnzke jjlmu tlkisq vxqzut wpzvs