Ragas
AI evaluation and benchmarking for RAG pipelines.
Ragas is an evaluation framework for RAG pipelines. It measures retrieval quality, answer faithfulness, and overall pipeline performance with automated metrics.
I use Ragas to evaluate and benchmark RAG systems before deployment and to monitor quality over time. It catches issues like the retriever missing relevant documents, the LLM hallucinating beyond the context, or answer quality degrading as the knowledge base changes.
For Barnsley businesses deploying AI search or Q&A systems, Ragas provides the quality assurance layer. You can measure whether the AI is actually retrieving the right information and generating accurate answers, rather than just hoping it works.
How I use Ragas for Barnsley businesses
For data pipelines, it evaluates and benchmarks RAG and extraction quality.
Related integrations
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LangChain
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LangSmith
LLM observability, tracing, and evaluation for AI pipelines.
Pandas AI
Natural language to dataframe queries via LLM.
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.