In this video I'll examine the concept of Grounding in RAG, and how you can use some specialized LLM that exposes special API to simplify grounding and give you more functionalities out of the box.
I'll explain how to integrate Command R+ inside your Kernel Memory pipeline with my custom extension.
You can find code here: github.com/alkampfergit/Kerne...
Cohere platform documentation: docs.cohere.com/docs/the-cohe...
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
00:00 - Introduction
01:00 - Importance of Grounding in RAG
03:07 - Introduction to Cohere's RAG Models
05:14 - Features of Cohere's API Response
06:50 - Implementation of Cohere's API in Kernel Memory Pipeline
07:58 - Limitations in Tokenization with Cohere's API
09:58 - Comparison of Original RAG Query Executor and Query Command R Plus Generation
11:58 - Demonstration of Cohero's API in Action
17:57 - Recap and Conclusion of the Video
28 июл 2024