LangChain is a framework for building applications powered by large language models (LLMs), enabling advanced reasoning, memory, and data retrieval. It provides integrations with various LLMs, vector databases, APIs, and tools to create AI-driven chatbots, agents, and automation workflows.
LlamaIndex (formerly GPT Index) is a data framework that connects LLMs with structured and unstructured data sources for efficient retrieval and querying. It helps build AI-powered applications by indexing, storing, and retrieving relevant data for contextual responses.
CrewAI is a framework for orchestrating multiple AI agents to collaborate on complex tasks, enhancing automation and problem-solving. It allows developers to define agent roles, workflows, and interactions to create efficient, multi-agent AI systems.
Swarm refers to a system where multiple AI agents or bots work together in a decentralized, cooperative manner to solve complex tasks. Inspired by swarm intelligence in nature, it enhances scalability, adaptability, and efficiency in AI-driven problem-solving.
PydanticAI is an AI-powered data validation and parsing framework built on top of Pydantic, designed to enhance structured data handling
LangGraph is a framework for building stateful, multi-agent workflows using graph-based execution with LangChain. It enables developers to design complex AI agent interactions with flexible, directed graph structures for better control and scalability.
AutoGen is a framework for building multi-agent AI systems that automate complex workflows and decision-making processes. It enables dynamic agent interactions, memory management, and tool usage, optimizing AI-driven collaboration and automation.
Please let me know in comment section which AI framework you
are using and why?
