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Itinai.com llm large language model structure neural network c21a142d 6c8b 412a bc43 b715067a4ff9 1

How to Use Langchain? Step-by-Step Guide

LangChain is an AI framework for developers to create applications using large language models. Here’s a step-by-step guide on how to use it. Set up the environment, integrate with model providers, use prompt templates, chain multiple models, deploy agents and tools, handle memory, load documents, organize with indexes. Source: MarkTechPost.

 How to Use Langchain? Step-by-Step Guide

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How to Use Langchain? Step-by-Step Guide

Step 1: Setup

Before using LangChain, ensure you have a well-configured development environment. Install necessary dependencies, including Python or JavaScript. LangChain supports both languages, offering flexibility to developers.

Step 2: LLMs

To use LangChain effectively, integrate it with various components like model providers, data stores, and APIs. Integrate LangChain with OpenAI’s model APIs or using Hugging Face.

Step 3: LangChain Prompt Templates

LangChain’s Prompt Templates make creating good prompts for language models easy, helping developers use LangChain smoothly in their apps.

Step 4: Chains

Using a single Language Model (LLM) is okay for simple tasks, but chaining multiple LLMs together is necessary for more complex applications.

Step 5: Agents and Tools

Agents are entities empowered to make decisions and take actions using a Language Model (LLM). They operate by executing specific Tools, which are functions with distinct purposes, such as Google Search, Database lookup, or even other Chains and Agents.

Step 6: Memory

Memory is a way for programs to remember things from one step to the next. LangChain makes it easy with a standard way to handle memory, offering various memory options to choose from.

Step 7: Document Loader

Use document loaders to load data from a source as documents. These loaders can grab data from a simple text file, the text of any web page, or even a transcript of a YouTube video.

Step 8: Indexes

Indexes help organize documents in a way that makes it easier for language models (LLMs) to understand and work with them effectively. This module provides handy tools for dealing with documents, including Embeddings, Text Splitters, and Vector stores.

If you want to evolve your company with AI, stay competitive, and use LangChain for your advantage. Discover how AI can redefine your way of work, identify automation opportunities, define KPIs, select an AI solution, and implement gradually. For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram or Twitter.

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I believe that AI is only as powerful as the human insight guiding it.

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