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