Large language models (LLMs) have transformed the way we approach machine learning and artificial intelligence. These models are incredibly powerful, but their true potential lies in their ability to work in harmony with other sources of data and computation. This library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications.
Resources to get stared with LangChain
Use cases for LangChain
Documentation for Question Answering over specific documents
ChatbotsDocumentation for Chatbots build with LangChain
AgentsDocumentation for Agents systems build with LangChain
Implementations of LangChain
Ask questions to your Notion database in natural language
Chat-LangChainImplementation of a locally hosted chatbot specifically focused on question answering over the LangChain documentation
GPT+WolframAlphaDemonstrates a conversational agent implemented with OpenAI GPT3 and LangChain
Explore the coding tutorials and how-to guides available on our website to help you get started and learn to build with LangChain artificial intelligence technology
Solutions built with LangChain that have been created during our hackathons by the members of our community
Join one of our AI hackathons to build modern artificial intelligence together with talented members of our lablab community
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