LangSmith
LLM observability, tracing, and evaluation for AI pipelines.
LangSmith is an observability and evaluation platform for LLM applications. It provides tracing, debugging, and evaluation tools so you can see exactly what your AI is doing and measure how well it's performing.
I use LangSmith to trace and debug LLM pipelines - seeing the full chain of calls, prompts, and responses that led to a particular output. When something goes wrong or output quality drops, LangSmith shows you where in the pipeline the issue occurred.
For Barnsley businesses running AI in production, LangSmith provides the visibility to maintain quality over time. You can monitor for regressions, evaluate outputs against ground truth, and identify where the pipeline needs improvement.
How I use LangSmith for Barnsley businesses
For data pipelines, it traces and debugs LLM runs and evaluates outputs.
Related integrations
Haystack
NLP framework for LLM pipelines and document processing.
LangChain
Agent framework for tool-calling and multi-step LLM workflows.
Pandas AI
Natural language to dataframe queries via LLM.
Ragas
AI evaluation and benchmarking for RAG pipelines.
Unstructured.io
LLM-ready document parsing and chunking for RAG pipelines.
Want to discuss AI for your business?
I help businesses across South Yorkshire and beyond integrate AI into their workflows. Get in touch to talk through your specific situation.