Agents. The core idea of agents is to use a language model to choose a sequence of actions to take. In chains, a sequence of actions is hardcoded (in code). Timeouts for agents · Agent Types · Quickstart · Custom agent

In this tutorial we will build an agent that can interact with a search engine. You will be able to ask this agent questions, watch it call the search tool, ...

Tools for every task. LangChain offers an extensive library of off-the-shelf tools and an intuitive framework for customizing your own.

11 янв. 2024 г. · What is LangChain agent? The idea behind the agent in LangChain is to utilize a language model along with a sequence of actions to take. The ...

2 июн. 2024 г. · In this blog, we will explore how agents in Lang Chain work, their practical applications, and how they differ fundamentally from traditional chains.

28 июн. 2024 г. · An AI agent is a system that uses an LLM to decide the control flow of an application. Even here, I'll admit that ...

Agent Types. This categorizes all the available agents along a few dimensions. Intended Model Type. Whether this agent is intended for Chat Models. Tool calling agent · ReAct · Structured chat · OpenAI tools

Learn about the latest advancements in LLM APIs and use LangChain Expression Language (LCEL) to compose and customize chains and agents.

In Chains, a sequence of actions is hardcoded. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order.

Agents are systems that take a high-level task and use an LLM as a reasoning engine to decide what actions to take and execute those actions.