Many different frameworks have been developed to build applications leveraging LLMs in an effective and efficient way. These systems can do things like call language models via APIs, connect LLMs to other sources of data, and allow models to interact with their environment.

As we mentioned in a previous section, this abstraction allows developers to combine different components using a sequence of LLM calls and create more advanced use cases.

LangChain started in the second half of 2022 as an open-source project and has since risen in popularity and use. In the meantime, many other tools have followed suit, and although there is overlap, the emerging alternatives have slightly different purposes in mind.

Depending on your project’s objectives, some of the projects listed below, or a combination of them and LangChain might be your best approach.

Frameworks to build your LLM-powered applications

LangChain

FlowiseAI

AutoGPT

AgentGPT

BabyAGI

Langdock

Llamaindex

MetaGPT

<aside> ☝ Back to other topics in Explore

</aside>