Multimodal Vector Intelligence & Search
Ingest notes, images, PDFs, voice audio, code, and web page URLs into a unified 768-dimensional embedding space. Perform cross-modal search, visualize 2D/3D cluster maps, and synthesize grounded answers with AI citations.
📥 Ingest Multimodal Asset
📚 Vector Library Index 0
🔍 Cross-Modal Semantic Query
Filter Modality:
🧠 Grounded RAG AI Synthesis
Gemini 1.5 FlashItem Title
Type: Text
Item Content Preview...
🌐
Visual Cluster Map
Ingest at least 3 assets (or load sample data) to calculate PCA eigenvectors and visualize 2D cluster spaces.
Note
Image
PDF
Audio
Code
URL
Drag to rotate 3D view | Scroll to zoom
🌌
3D Vector Universe
Ingest at least 3 assets to project 3D PCA eigenvectors (PC1, PC2, PC3).
Requires at least 3 ingested items to perform K-Means semantic clustering.
🎯 Semantic Rank Results
No query executedRun a semantic query above to rank your library assets by vector cosine similarity.