The Building Blocks of Agentic Systems with Harrison Chase - 698

Today, we're joined by Harrison Chase, co-founder and CEO of LangChain to discuss LLM frameworks, agentic systems, RAG, evaluation, and more. We dig into the elements of a modern LLM framework, including the most productive developer experiences and appropriate levels of abstraction. We dive into agents and agentic systems as well, covering the “spectrum of agenticness,” cognitive architectures, and real-world applications. We explore key challenges in deploying agentic systems, and the importance of agentic architectures as a means of communication in system design and operation. Additionally, we review evolving use cases for RAG, and the role of observability, testing, and evaluation tools in moving LLM applications from prototype to production. Lastly, Harrison shares his hot takes on prompting, multi-modal models, and more!

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📖 CHAPTERS
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00:00 - Introduction
4:22 - Langchain product family
8:49 - Agents
16:56 - Agentic Aspects of Cognitive Architectures
22:07 - Agenticness in LLMs
28:39 - Key challenges in deploying agentic systems
30:17 - Langsmith for agent building
36:56 - Interoperability of LangChain and LineGraph
38:00 - RAG use cases
42:16 - Langsmith in tackling evaluation
51:16 - Hot takes


🔗 LINKS & RESOURCES
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LangChain - https://www.langchain.com/
LangGraph - https://www.langchain.com/langgraph
LangGraph Cloud - https://langchain-ai.github.io/langgr...
LangSmith - https://www.langchain.com/langsmith


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