LangSmith: LangChain's LLM Debugger, Evaluator, & Monitoring Tool
Created on June 28|Last edited on June 29
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LangChain, one of the biggest Python LLM tools of this year, helps developers integrate LLMs and chatbots into their applications. This library consists of the following components.
- Schema: data type and schemas used in LangChain
- Models: available models
- Prompts: utility for prompt construction
- Indexes: utility functions for working with documents
- Memory: for when you are interested in developing a chatbot with memory
- Chains: similar to that of a Scikit-learn pipeline
- Agents: language models for driving decision making
LangChain also has another library, LangSmith, to help with debugging, evaluating, and monitoring your LLM applications. So what features does LangSmith offer?
From their documentation, debugging comes with a user interface!
The monitoring page, just 2 tabs to the right of Debug, features a dashboard for collecting user feedback and logging data and traces for future analysis.
Lastly, LangChain's Evaluator component provides off-the-shelf technical and general metrics to evaluate your model like conciseness, correctness, and even custom criteria.
Go check it out today!
References
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