THub Technical Documentation
  • Introduction
  • 🔗 LangChain
    • 🕵️ Agents
    • 🗄️Cache
    • ⛓️Chains
    • 🗨️Chat Models
    • 📁Document Loaders
    • 🧬Embeddings
    • Graph
    • 🧠Large Language Models(LLM)
    • 💾Memory
    • 🛡️Moderation
    • 👥Multi Agents
    • 🔀Output Parsers
    • 📝Prompts
    • 📊Record Managers
    • 📑Retrieval-Augmented Generation
    • 🔍Retrivers
    • Sequential Agent
    • ✂️Text Splitters
    • 🛠️Tools
    • 🔌Tools (MCP)
    • 🗃️Vector Stores
  • 🦙LLama Index
    • 🕵️ Agents
    • 🗨️Chat Models
    • 🧬Embeddings
    • 🚀Engine's
    • 🧪Response Synthesizer
    • 🛠️Tools
    • 🗃️Vector Stores
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  1. 🔗 LangChain

🛠️Tools

Tools are functions that agents can use to interact with the world. These tools can be generic utilities (e.g. search), other chains, or even other agents.

Previous✂️Text SplittersNext🔌Tools (MCP)

Last updated 20 days ago

1)BraveSearch API

Wrapper around BraveSearch API - a real-time API to access Brave search results.

2)Calculator

Perform calculations on response.

3)Chain Tool

Use a chain as allowed tool for agent.

4)Custom Tools

Function usually takes in structured input data. Let's say you want the LLM to be able to call Airtable Create Record API, the body parameters has to be structured in a specific way.

5)Google Custom Search

Wrapper around Google Custom Search API - a real-time API to access Google search results.

6)OpenAPI Toolkit

Load OpenAPI specification.

7)Read File

Read file from disk.

8)Retriever Tool

Use a retriever as allowed tool for agent.

9)SearchApi

Real-time API for accessing Google Search data.

10)Serp API

Wrapper around SerpAPI - a real-time API to access Google search results.

11)Serper

Wrapper around Serper.dev - Google Search API.

12)Web Browser

Gives agent the ability to visit a website and extract information.

13)Write File

Write file to disk.

14)Code Interpreter by E2B

The Code Interpreter by E2B node integrates an open-source runtime for executing AI-generated code in secure cloud sandboxes. For instance, when a user requests a bar graph of data, the LLM generates the necessary Python code, which is then executed by E2B. The output, including images, code, and text, is returned to the LLM for final processing before display.

15)Chatflow Tool

Execute another chatflow and get the response.

16)Request Get

Execute HTTP GET requests.

17)Request Post

Execute HTTP POST requests.

18)Chain Tool

The Chain Tool node allows you to incorporate existing chains as tools within your agent workflows. This enables modular design by reusing predefined sequences of operations.

19)Composio

The Composio node facilitates integration with over 200 applications, enhancing the capabilities of your AI agents by allowing them to interact with various external tools and services.

20)Exa Search

The Exa Search node serves as a wrapper around the Exa Search API, a search engine fully designed for use by LLMs. This integration enables your agents to perform searches and retrieve relevant information efficiently.

21)SearXNG

The SearXNG node integrates the SearXNG metasearch engine, allowing your agents to perform searches across multiple sources. To use this node, drag and drop it onto the canvas, fill in the Base URL (e.g., http://localhost:8080), and specify other search parameters as needed.

22)Tavily API

The Tavily API node is a wrapper around the TavilyAI API, providing real-time, accurate search results tailored for LLMs and Retrieval-Augmented Generation (RAG) applications. To set it up, add the Tavily API node from the LangChain > Tools section and create credentials for Tavily.

23) Wolfram Alpha

The Wolfram Alpha node connects your agents to Wolfram Alpha's computational intelligence engine, enabling them to perform complex calculations and access a vast repository of knowledge.