Evidence receipt / belief
Published · transcript-backedAlessio Fanelli: belief
6 Sept 2023 Latent Space The Point of LangChain — with Harrison Chase of LangChain
“The difference I think at the Databricks keynote, you said chains are like predetermined steps and agents is models reasoning to figure out what steps to take and what actions to take.”
Source trail
Everything needed to verify it.
- Speaker
- Alessio Fanelli
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 6 Sept 2023
- Publisher
- Latent Space
Transcript context
…No, thanks for coming. That was a good one. And on the website, you list like RAG, which is retrieval of bank debt generation and agents as two of the main goals of LangChain. The difference I think at the Databricks keynote, you said chains are like predetermined steps and agents is models reasoning to figure out what steps to take and what actions to take. How should people think about when to use the two and how do you transition from one to the other with LangChain? Like is it a path that you support or like do people usually re-implement from an agent to a chain or vice versa? Yeah.…
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