How can you turn PDFs and images into a searchable knowledge base?
We’ll showcase how to extract valuable information from unstructured files using the BytePlus Vision Model and store it in the VikingDB Vector Database — enabling lightning-fast semantic search through a powerful Knowledge Engine.
🔍 What you’ll learn:
Uploading local multimodal files (PDFs, images, and more)
Extracting structured data with the BytePlus Vision Model
Storing and indexing data in the VikingDB Vector Database
Running semantic AI searches across multimodal content
End-to-end demo: from raw uploads to intelligent search results
💡 By the end, you’ll understand how to turn static documents into a dynamic, searchable knowledge base powered by multimodal extraction and semantic AI.

Target Audience: AI and Machine Learning Practitioners, Data Engineers, Academic Researchers, Developers Building Search Systems (Internal & External).

Keen to get in touch? tinyurl.com/bdevsfyv
Try it out now: tinyurl.com/mrxhsvwx

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