Multimodal Search with LanceDB 🤹♂️🔍
Using LanceDB's multimodal capabilities, combine text and image queries to find the most relevant results in your corpus ! 🔓💡
Explore the Future of Search 🚀
LanceDB supports multimodal search by indexing and querying vector representations of text and image data 🤖. This enables efficient retrieval of relevant documents and images using vector-based similarity search 📊. The platform facilitates cross-modal search, allowing for text-image and image-text retrieval, and supports scalable indexing of high-dimensional vector spaces 💻.
| Multimodal | Description | Links |
|---|---|---|
| Multimodal CLIP: DiffusionDB 🌐💥 | Multi-Modal Search withCLIP andLanceDB UsingDiffusionDB Data for Combined Text and Image Understanding ! 🔓 |     |
| Multimodal CLIP: Youtube Videos 📹👀 | SearchYoutube videos using Multimodal CLIP, finding relevant content with ease and accuracy! 🎯 | |
| Multimodal Image + Text Search 📸🔍 | Findrelevant documents andimages with a single query usingLanceDB's multimodal search capabilities, to seamlessly integrate text and visuals ! 🌉 | |
| Cambrian-1: Vision-Centric Image Exploration 🔍👀 | Learn howCambrian-1 works, using an example ofVision-Centric exploration on images found through vector search ! Work onFlickr-8k dataset 🔎 | |