How to Use Multi-Input Tools With an Agent?

Tools in LangChain have a huge impact on solving multiple problems through agents that help language or chat models using OpenAI modules. Agents control the manageability of the task by using the tools and assigning tasks according to their functionalities. LangChain...

How to Use LangChain Tools as OpenAI Functions?

LangChain builds Language models and chatbots using its dependencies that enable the users to ask targeted queries from the chatbot. The bots have a chat user interface in which the user sends a message asking questions and the model responds accordingly. The models...

How to Use Callback Handlers in LangChain?

LangChain provides the dependencies for building applications that can answer queries asked by the user in natural languages. The user needs to train the language models using the template or structure for the queries so the models can start working as soon as it...

How to Use Async Callback Handler in LangChain?

LangChain offers a variety of sets of tools to configure and use the Language models to interact with humans in their language. The major impact is that the model does not require any translator to interpret the questions asked by the user. These models are trained on...

How to Create Custom Tools in LangChain?

LangChain enables the developers to design agents for extracting information using language models like OpenAI and others. Agents are responsible for handling the intermediate processes like thoughts, actions, observations, and others. They do need multiple tools or...