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 with CLIP and LanceDB Using DiffusionDB Data for Combined Text and Image Understanding ! 🔓 Multimodal CLIP: Youtube Videos 📹👀 Search Youtube videos using Multimodal CLIP, finding relevant content with ease and accuracy! 🎯 Multimodal Image + Text Search 📸🔍 Find relevant documents and images with a single query using LanceDB's multimodal search capabilities, to seamlessly integrate text and visuals ! 🌉 Cambrian-1: Vision-Centric Image Exploration 🔍👀 Learn how Cambrian-1 works, using an example of Vision-Centric exploration on images found through vector search ! Work on Flickr-8k dataset 🔎