Harrison Chase
Harrison Chase is an American software engineer and technology entrepreneur, co-founder and CEO of LangChain. He led the development of the LangChain open-source framework, which is designed to simplify the process of building applications based on large language models and is widely used in the artificial intelligence field. Chase has significant influence in advancing the integration of large language models with external tools and data sources, and is a key contributor to the generative AI application development ecosystem.
Core Facts
LangChain is an LLM application development framework created by Harrison Chase in 2022.
LangChain was released as an open-source project by Harrison Chase in October 2022.
LangChain is a large model application development framework created by Harrison Chase in October 2022, whose core concept is the 'chain' that connects multiple processing steps into a pipeline.
Timeline (last 90 days)
LLMs that support Function Calling make tool use predictable and stable, and are one of the key improvements enabling the successful deployment of Agents.
Andrew Ng, together with LangChain founder Harrison Chase and Tavily founder Rotem Weiss, launched the course "AI Agents in LangGraph".
Langchain's Harrison Chase noted that Jev is very well suited for evaluations, especially for online evaluation of large volumes of traces (LLM-as-judge practice).
LangChain is led by Harrison Chase and was built specifically for bridging the Python ecosystem with large language models.
The course was co-created by LangChain co-founder Ankur Shkola and Harrison Chase, with DeepLearning.ai's Jeff Ludwig, Eddie Hsu, and Diala Ezzedin participating in the material production.
Andrew Ng collaborated with DeepLearning.ai to launch a short course on LangChain, taught by LangChain author Harrison Chase.
LangChain is an open-source framework created by Harrison Chase for building large language model applications.
LangChain is a large model application development framework created by Harrison Chase in October 2022, whose core concept is the 'chain' that connects multiple processing steps into a pipeline.
All Facts (10)
LangChain is an LLM application development framework created by Harrison Chase in 2022.
90%VerifiedLangChain was released as an open-source project by Harrison Chase in October 2022.
90%VerifiedLangChain is a large model application development framework created by Harrison Chase in October 2022, whose core concept is the 'chain' that connects multiple processing steps into a pipeline.
65%UnverifiedLangChain is an open-source framework created by Harrison Chase for building large language model applications.
60%UnverifiedLLMs that support Function Calling make tool use predictable and stable, and are one of the key improvements enabling the successful deployment of Agents.
50%UnverifiedLangchain's Harrison Chase noted that Jev is very well suited for evaluations, especially for online evaluation of large volumes of traces (LLM-as-judge practice).
50%UnverifiedLangChain is led by Harrison Chase and was built specifically for bridging the Python ecosystem with large language models.
50%UnverifiedThe course was co-created by LangChain co-founder Ankur Shkola and Harrison Chase, with DeepLearning.ai's Jeff Ludwig, Eddie Hsu, and Diala Ezzedin participating in the material production.
50%UnverifiedAndrew Ng, together with LangChain founder Harrison Chase and Tavily founder Rotem Weiss, launched the course "AI Agents in LangGraph".
50%UnverifiedAndrew Ng collaborated with DeepLearning.ai to launch a short course on LangChain, taught by LangChain author Harrison Chase.
50%