Episode description

00:00 Intro

00:21 Guest Introduction: Eric Pugh

03:00 Eric's story in search and the evolution of search technology

7:27 Quepid: Improving Search Relevancy

10:08 When to use Quepid

14:53 Flash back to Apache Solr 1.4 and the book (of which Eric is one author)

17:49 Quepid Demo and Future Enhancements

23:57 Real-Time Query Doc Pairs with WebSockets

24:16 Integrating Quepid with Search Engines

25:57 Introducing LLM-Based Judgments

28:05 Scaling Up Judgments with AI

28:48 Data Science Notebooks in Quepid

33:23 Custom Scoring in Quepid

39:23 API and Developer Tools

42:17 The Future of Search and Personal Reflections

Show notes:

- Hosted Quepid: https://app.quepid.com/

- Ragas: Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines https://github.com/explodinggradients...

- Why Quepid: https://quepid.com/why-quepid/

- Quepid on Github: https://github.com/o19s/quepid