LangChain
By sending a prompt to an LLM, we can achieve amazing feats and get useful information. However, we may want to build applications that implement more complex logic than we could achieve in a single prompt, and these applications may require interacting with multiple systems in addition to an LLM.
LangChain is a popular framework for developing applications using LLMs, and it enables us to combine multiple steps into a chain, in which each step implements some logic, such as reading from a data store, sending a prompt to an LLM, taking the outputs from the LLM, and using them in subsequent steps.
One of LangChain’s advantages is that it uses a modular approach, so we can build complex workflows by combining smaller, simpler modules of logic. It provides tools for useful tasks such as creating prompt templates and managing context for interactive integrations with LLMs, and we can easily find integrations for accessing information from sources such as Google Search...
