How AI Actually "Understands" words : https://youtu.be/ITsy52sV0oM?si=-PrgeHhOm9X-n6IR
Unlock the power of modern document search with this comprehensive guide to Knowledge Bases in Open WebUI. Learn how to leverage RAG (Retrieval Augmented Generation) and embedding models to transform your document management experience. Through a practical example of resume screening, discover how these technologies work together to make document search more intelligent and efficient.
In this tutorial, we explore:
Setting up Knowledge Bases in Open WebUI
Understanding embedding models and their role in document processing
Configuring RAG templates for optimal results
Practical implementation with real-world resume screening
Advanced features including hybrid search and re-ranking models
Perfect for developers, technical managers, and anyone interested in implementing modern document search solutions. Whether you're new to RAG systems or looking to optimize your existing setup, this guide provides clear, actionable insights into building effective knowledge management systems.
🔧 Technical Stack Covered:
Open WebUI
Sentence Transformers
Embedding Models
RAG Architecture
Document Processing
⭐️ Links mentioned in the video:
SBERT.net: https://sbert.net/
Hugging Face Models: https://huggingface.co/models?library=sentence-transformers&sort=downloads
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