This presentation was recorded at GOTO Chicago 2024. #GOTOcon #GOTOchgo
https://gotochgo.com
Jeff Vestal - Principal Customer Enterprise Architect at Elastic @JeffVestal
RESOURCES
https://github.com/jeffvestal
https://www.linkedin.com/in/jeffvestal
ABSTRACT
In this talk, we'll focus on the challenges of building retrieval augmented generation (RAG) chat applications and how to overcome them efficiently. We'll explore common issues such as file processing, semantic search, and prompt iteration, showing how Elasticsearch helps streamline these tasks. Using Elastic Playground, we'll fine-tune settings and quickly test RAG prompts to optimize performance.
I'll also walk through the process of transforming files into sparse vector embeddings for better search results, and demonstrate how to seamlessly export code for integration into a functional chat application. [...]
TIMECODES
00:00 Intro
01:44 Lexical 101
03:28 Semantical 101
09:20 ELSER
12:16 Query problem
15:05 Inference API
16:27 Semantic text
19:56b RAG (Retrieval Augmented Generation)
23:17 Generative caching
26:06 LLM caching benefits
27:19 LLM helpy helper
31:19 Demo
43:20 Outro
Read the full abstract here:
https://gotochgo.com/2024/sessions/3536
RECOMMENDED BOOKS
Bahaaldine Azarmi & Jeff Vestal • Vector Search for Practitioners with Elastic • https://amzn.to/3ZCGSfa
Madhusudhan Konda • Elasticsearch in Action • https://amzn.to/3P4sQ16
Huage Chen & Yazid Akadiri • Elastic Stack 8.x Cookbook • https://amzn.to/3DymaFW
Asjad Athick • Getting Started with Elastic Stack 8.0 • https://amzn.to/41Cu8YN
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