Integrating Knowledge Bases for RAGs
Integrating Knowledge Bases for RAGs
Released/Updated: Aug 30, 2024
Duration: 22m 54s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 73 MB
Genre: eLearning | Language: English
Released/Updated: Aug 30, 2024
Duration: 22m 54s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 73 MB
Genre: eLearning | Language: English
Discover the power of integrating knowledge bases with retrieval augmented generation (RAG) models. This course will teach you how to align unstructured text data with structured knowledge bases and incorporate external data sources.
What you'll learn
Integrating knowledge bases with retrieval augmented generation (RAG) models can significantly enhance the quality and accuracy of information retrieval and generation. In this course, Integrating Knowledge Bases for RAGs, you’ll learn to effectively align unstructured text data with structured knowledge bases, incorporate external data sources, and implement advanced knowledge integration techniques. First, you’ll explore the techniques for aligning and linking unstructured text data with structured knowledge bases. Next, you’ll discover methods for incorporating external data sources, such as encyclopedic knowledge, domain-specific databases, and web-scale corpora, into RAG models. Finally, you’ll learn how to implement and evaluate knowledge integration approaches, including entity linking, knowledge graph embeddings, and knowledge-guided retrieval. When you’re finished with this course, you’ll have the skills and knowledge of integrating knowledge bases with RAG models needed to enhance retrieval and generation capabilities in your projects.
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