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Refine and improve the language clarity and quality across all example pages in the documentation to ensure better understanding and readability. --------- Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
4.3 KiB
4.3 KiB
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 🔎 |  |