This week's topic: LangChain
As described in Thoughtworks Technology Radar Vol. #28.
LangChain is a framework for building applications with large language models (LLMs). These models have triggered a race to incorporate generative AI in several use cases. However, using these LLMs in isolation may not be enough — you have to combine them with your differentiated assets to build an impactful product. LangChain fills this niche with some neat features, including prompt management, chaining, data augmented generation and a rich set of agents to determine which actions to take and in what order. We expect more tooling and frameworks to evolve with LLMs, and we recommend assessing LangChain.
Zoom link will be added just before the event starts.
https://us02web.zoom.us/j/83985942127?pwd=VlBxTlhQd0d0bmtnZ3hmNjI4eXFsQT09
Discussion Resources:
- LangChain: Introduction and Getting Started by Pinecone
- What is Langchain and why should I care as a developer? by Logan Kilpatrick
- LangChain Crash Course for Beginners by freeCodeCamp.org
- This was largely a ramble between the old-timers. No one had done any of the reading in the discussion resources.
- LangChain has support for Python, JavaScript and Java
- These links were shared, but no explanation of why was given except for the survey for next week's topic: