LangChain - AI Agent Frameworks Tool

Overview

LangChain is a framework for building context-aware applications powered by large language models. It provides standard interfaces for models, embeddings, and vector stores and is available at the project's GitHub repository.

Key Features

• Standard interfaces for models, embeddings, and vector stores.
• Utilities for composing context-aware LLM application logic.
• Project source and documentation hosted on GitHub.

Ideal Use Cases

• Applications that maintain conversational or contextual state.
• Retrieval workflows combining embeddings with vector stores.
• Prototyping and experimenting with LLM-powered tools.

Getting Started

• Review the project's README on GitHub for overview and setup instructions.
• Install required dependencies listed in the repository.
• Select and configure an LLM provider and API credentials.
• Run provided examples and extend sample applications.

Pricing

No pricing information provided in the supplied context; consult the GitHub repository for project details.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool