Jan. 9, 2024, 5:34 p.m. | Nicolas Oulianov

DEV Community dev.to

Building an AI agent with Langchain is an exciting endeavor. In a few lines of Python, you have the prototype of an agent. You can chat with your data!


But like any cutting-edge technology, it comes with its own set of challenges. Hallucinations, incorrect responses, and misunderstandings can plague your Langchain-based agent.


What’s the first step to overcome these hurdles? Analytics.






Understanding the Analytics Spectrum


In software, analytics spans from performance metrics to user satisfaction insights.




  • Performance Analytics: Dive deep …

agent ai analytics analytics building challenges chat data edge edge technology endeavor hallucinations langchain python responses set technology

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US