Open WebUI, RAG, Knowledge, Sentence Transformers, Embeddings models, Re-ranking models

Explore Open WebUI's Knowledge for RAG (Retrieval Augmented Generation) and how to configure embedding and reranking models. Perfect for those looking to enhance their personal AI assistants using Open WebUI.

⭐️What You'll Learn:
How to create and manage Knowledge base and documents effortlessly
The ins and outs of embedding models suitable for Open WebUI
Choosing embedding models using leaderboard
The significance of re-ranking in optimizing search results
Practical use of Hugging Face and sentence transformers

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🎬Quick navigation:
00:49 Creating and Managing Knowledge Bases
02:50 Configuring Embedding Models in Admin Page
03:50 Selecting embedding models: SBERT-based Models and Sentence Transformers
04:52 Changing and Configuring Embedding Models
05:12 Warning on Changing Embedding Models
06:00 Deleting and Re-creating with new embedding models
07:00 Syncing Directory and Resetting Knowledge Base
08:14 Exploring Embedding Models and Semantic Search with MTEB Leaderboard
09:46 Enabling hybrid search or re-ranking models
10:55 Using OpenAI API Calls for embedding models
12:45 Demonstrating Knowledge Base Usage and Errors
15:30 Summary of the whole video

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