Introduction to LangChain
As we progress further into the realm of LLM application development, you’ll start to notice that these sorts of applications quickly become complex and necessitate increasingly complex prompts. A prompt can include basic system instruction, user input, subject metadata, personalization for the user, previous interaction data, and other information from other systems. So, a typical application might necessitate multiple promptings of an LLM along with parsing its output, thus calling for a substantial amount of auxiliary code. This is where LangChain, created by Harrison Chase, comes into play to add structure to your LLM applications and ease the development journey.
LangChain emerged from the necessity to fabricate intricate LLM applications while employing common abstractions in their developmental blueprint. It’s an open-source framework with a strong community and many active contributors.
The inception of LangChain was driven by the...
