Advanced RAG Applications with Vector Databases
With Yujian Tang
Liked by 167 users
Duration: 1h 18m
Skill level: Advanced
Released: 10/17/2024
Course details
Retrieval-augmented generation (RAG) is everywhere these days, and vector databases are what give them their power. But RAG isn’t as simple as some companies claim, so it can be easy to get overwhelmed. In this course, discover state-of-the-art RAG methods, including how to optimize text-based RAG via chunking, embedding, and metadata usage, and how to conduct basic image search with a vector database. You’ll also get a chance to practice multimodal RAG by embedding and storing data and querying images with text. Along the way, instructor Yujian Tang provides practical, hands-on demonstrations and exercise challenges to test out your new skills.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Ramprasanth Anthikad Venugopalan
Ramprasanth Anthikad Venugopalan
Stakeholder Engagement Leader | System Architect | Telecom Solutions & Transformation | Driving Innovation with Agile Methodologies
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Tarunjit Yumnam
Tarunjit Yumnam
PhD Scholar || Assistant Professor @ DOON SCHOOL OF ADVANCED COMPUTING || NATURAL LANGUAGE PROCESSING || LARGE LANGUAGE MODELS || PATTERN RECOGNITION…
Contents
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