Advanced RAG Trick: HyDE (Hypothetical Document Embedding) Algorithm | Python Tutorial

Описание к видео Advanced RAG Trick: HyDE (Hypothetical Document Embedding) Algorithm | Python Tutorial

Hi, My name is Sunny Solanki, and in this video, I provide a guide on using Chroma Vector Database. Chroma is an open-source vector store commonly used to build RAG Apps.

============================================
CODE - https://github.com/sunny2309/advanced...
==============================================
=======================================================
SUPPORT US - Buy Me Coffee - https://buymeacoffee.com/coderzcolumn
=======================================================
=======================================================
NEWSLETTER - http://eepurl.com/gRW2u9
=======================================================
=======================================================
WEBSITE - https://coderzcolumn.com
=======================================================

Important Chapters:

0:00 - HyDE (Hypothetical Document Embedding) Intro
1:24 - Code Start
5:09 - Load Data (PDF Document)
7:29 - Add Data to Vector Store
13:49 - Search Vector Store using Query
17:08 - HyDE Implementation
20:40 - Visualize HyDE Retrieval Results
21:59 - HyDE (Averaged Embeddings of Multiple Answers)
23:37 - Visualize HyDE Retrieval Results
24:31 - Build RAG to Check Retrieval Performance of HyDE

#python #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial #rag-trick #rag-tips #rag-improvement-guide #rag-retrieval-improvement

Комментарии

Информация по комментариям в разработке