Building a customer support chatbot using GPT-3.5 and lLamaIndex🚀

This page summarizes the projects mentioned and recommended in the original post on dev.to
llm llmops

Scout Monitoring - Free Django app performance insights with Scout Monitoring
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InfluxDB - Power Real-Time Data Analytics at Scale
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  • deepeval

    The LLM Evaluation Framework

    • The problem becomes worse if you want to inspect outputs from not just one, but several different queries. Luckily, there are several free open source packages such as ragas and DeepEval that can help evaluate your chatbot so you don't have to manually do it 😌

  • ragas

    Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

    • The problem becomes worse if you want to inspect outputs from not just one, but several different queries. Luckily, there are several free open source packages such as ragas and DeepEval that can help evaluate your chatbot so you don't have to manually do it 😌

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo

  • blog-examples

    • The source code for this tutorial is available here: https://github.com/confident-ai/blog-examples/tree/main/customer-support-chatbot

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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