Frameworks are a collection of tools and libraries that provide a structured foundation for developing applications. These frameworks have reusable components that enable customization and integration of LLMs into AI applications. These frameworks have been used to create Document Summarizers, Virtual Assistants, Chatbots and AI agents. In this blog, I will provide you with a brief overview of the frameworks, their main features and what makes them unique. LANGCHAIN LangChain began as an open-source project in October 2022, but as the GitHub stars piled up, it was quickly turned into a company led by Harrison Chase. It provides tools for chaining together LLMs, APIs, and other components to create more complex workflows. It also emphasizes the use of external knowledge sources (like databases, APIs, or documents) with LLMs to enhance their capabilities. LangChain is fascinating because it lets you augment existing LLMs with memory and context. They can artificially add “reason