The codebase for the book "AI-Powered Search" (Manning Publications, 2024)

LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.

Knowledge pills on Neural Search

An Effective and Scalable Framework for Multimodal Search of Target Modality

3D Medical Image Retrieval in Radiology

Collections of multimodal search libraries, service and research papers

Multimodal saree search app built using Amazon Titan Multimodal Embeddings model

An Effective and Scalable Framework for Multimodal Search with Target Modality

Multimodal Search for Authoring Genomics Data Visualizations

PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.

Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!

Multi-Modal Search over fashion datasets. Information Retrieval Tasks optimised using Spotify's Annoy, using text embeddings over captions and words generated from image via classifiers. Experimentation and Optimisation of hyper-parameters

A multimodal search engine combining text and image embeddings for unified, efficient information retrieval.

HACKTOBERFEST '23 Open Source Contribution to Weaviate: Implemented python version of Multi-Modal Search using Weaviate

The first public transport search written in Flutter Web

PoC мультимодального поиска изображений по текстовому описанию для фотохостинга с использованием ResNet50 и BERT. Использованы Python, TensorFlow, SentenceTransformers.

This repository hosts a multimodal search engine that combines text and image retrieval techniques. Explore the different search methodologies and enhance your understanding of information retrieval! 🖼️📚