Welcome to the Langchain Series! This repository explores the integration of large language models (LLMs) with external data sources, enhancing their capabilities to create robust AI applications.
Langchain is a framework designed for building advanced language model applications by connecting LLMs with additional resources. This series dives deep into how to leverage Langchain to develop AI solutions that interact with various data sources, perform complex reasoning, and provide sophisticated responses.
- Tutorials: Step-by-step guides on how to set up and work with Langchain in different environments.
- Examples: Real-world use cases demonstrating the versatility of Langchain.
- Best Practices: Tips and strategies for optimizing your Langchain applications.
- Advanced Topics: Exploration of advanced concepts like memory management, data persistence, and multi-agent systems.
- Clone the Repository: Start by cloning the repository to your local environment.
- Install Dependencies: Ensure you have all the required libraries and tools installed.
- Follow the Tutorials: Begin with the introductory tutorials to understand the basics of Langchain.
- Experiment with Examples: Explore the provided examples to see how Langchain can be used in various scenarios.
- Contribute: We welcome contributions! Check out our contributing guidelines for more information.