OpenAI Explanation with LangChain Applications.
- LangChain is a powerful Framework that allows you to build applications using LLM's.
- It helps you to create your own custom LLM models, and it can help you to train your own Custome data along with that it h elps you to integrate with various tools and API
- Components: Components are the modular building block that are ready and easy to use to build useful application. Components include LLM wrappers, Prompt Template and Indexes for relevant information retrieval
- Chain: Chain allow us to combine multiple components together to solve a specific task. Chain make it easy for implementation of complex application by making it more modular and simple to debug and maintain.
- Agents: Agents allow LLM to interact with their environments. For example using an external API to performing a specific action.
- Memory: Memory is refer to the various types of memory modules that stores and retrieve information during conversation.
- Prompt Template: A prompt is refer to the input of the model. This input is often constructed from the multiple components. A PromptTemplat is responsible for the construction of the input.