Langchain Framework Presentation for AI and LLMs

Langchain Framework Presentation for AI and LLMs

• 1.
  Introduction to Langchain •Langchain is a framework designed to build applications powered by language models. It simplifies the integration of LLMs with external data and tools.
• 2.
  Langchain Architecture • Langchainarchitecture includes components such as Chains, Agents, Tools, and Memory. These work together to enable dynamic and context-aware applications.
• 3.
  Chains • Chains aresequences of calls that can include prompts, LLMs, and other utilities. They help structure the flow of data and logic in Langchain applications.
• 4.
  Agents • Agents useLLMs to make decisions about which actions to take. They can dynamically choose tools and respond based on user input and context.
• 5.
  Tools • Tools areexternal functions or APIs that agents can call. Examples include search engines, calculators, and custom APIs.
• 6.
  Memory • Memory allowsLangchain applications to retain context between interactions. It supports short-term and long-term memory for personalized experiences.
• 7.
  Use Cases • Langchainis used in chatbots, data analysis, code generation, customer support, and more. It enables intelligent and interactive applications.
• 8.
  Summary • Langchain providesa modular and powerful framework for building LLM-based applications. Its components work together to deliver dynamic and context-aware solutions.