LangChain is an open-source framework created by Harrison Chase to aid the development of applications leveraging the power of large language models (LLMs). It can be used for chatbots, text summarisation, data generation, code understanding, question answering, evaluation, and more. LangChain offers several modules for a variety of use cases, and is building out a robust ecosystem too. In this multi-part series, I explore the various LangChain modules and use cases, and document my journey via Python notebooks on GitHub.
Part 6: Chains (coming soon)
Part 7: Agents (coming soon)
Part 8: Callbacks (coming soon)