Multimodal Search
Build search applications that work across data modalities like text and images.
What Is Multimodal Search?
Multi-modal search is a sophisticated search technology that enables users to query and retrieve information using multiple modes of input, such as text, voice, images, and even gestures. Unlike traditional search methods that rely solely on text-based queries, multi-modal search leverages the power of artificial intelligence (AI) and machine learning (ML) to understand and interpret various forms of input, providing users with more accurate and relevant search results.
Our Features
E-Song's multimodal search engine allows you to search not only local or server data but also content on social media platforms like Facebook and YouTube.
Why Is It Useful?
Better Results
Combine vector or hybrid search with metadata filter and real-time index updates to get the freshest and most relevant results.
Optimized for Your Use
Train models based on your domain-specific data to improve relevance.
Lower Cost
Reduce cost many workflows with out of the box embedding generation and vector retrieval.
Where Can It Be Applied?
Ecommerce Search
Content Search
Text-to-Image Search
Computer Vision Systems
Internet Tracking
Voice Content Location Search
How to Collaborate with Us
