The Building Blocks of Agentic Systems with Harrison Chase
EPISODE 698
|
AUGUST
19,
2024
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About this Episode
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!
About the Guest
Harrison Chase
LangChain
Resources
- LangChain
- LangGraph
- LangGraph Cloud
- LangSmith
- ReAct: Synergizing Reasoning and Acting in Language Models
- AutoGPT
- LangChain partners with Elastic to launch the Elastic AI Assistant
- NetworkX
- Improving Memory Retrieval: How New Computer achieved 50% higher recall with LangSmith
- Klarna CEO Sebastian Siemiatkowski on Getting AI to Do the Work of 700 Customer Service Reps
- Pregel: a system for large-scale graph processing
- Andrew Ng’s tweet
- Apache Airflow
