qdrant-2

Defense Situational Awareness Platform integrating multi-domain sensor data for threat detection and tracking

An AI-powered document and knowledge management platform that integrates WeChat Official Accounts and web content, supporting local file processing and personal knowledge storage.

A reverse image search platform that finds similar images, sources, and online usage locations by uploading images.

A research citation analysis platform that identifies supporting, refuting, or merely mentioning relationships between citations and papers.

Cloud-native vector database supporting approximate nearest neighbor search and metadata filtering for massive unstructured data.

Cloud search platform delivering real-time, multilingual, and customizable search results and analytics tools

Milvus is a cloud-native vector database designed to handle large-scale unstructured data such as text, images, and multimodal content. Its distributed architecture separates compute from storage, enabling horizontal scaling and high availability. Milvus supports multiple vector indexing methods, hardware acceleration, and advanced retrieval capabilities, including Approximate Nearest Neighbor (ANN), metadata filtering, and dense-sparse hybrid search. It is widely used in AI applications such as semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG). Additionally, Milvus offers comprehensive data security features, including authentication, encryption, and fine-grained access control.

Qdrant is a cutting-edge vector search engine and database optimized for storing, retrieving, and managing high-dimensional vectors along with their metadata payloads. It excels in use cases such as similarity search, recommendation systems, RAG, anomaly detection, and advanced semantic search. Built with Rust for high performance and reliability, Qdrant supports multiple deployment options including local Docker, hybrid cloud, and fully managed cloud services. With advanced indexing, quantization, and filtering capabilities, Qdrant delivers efficient, scalable, and precise vector search for modern AI workloads.

Zilliz Cloud is a cloud-native vector database platform designed to efficiently store, index, and retrieve massive vector embeddings for AI-powered applications. Built on the open-source Milvus engine, the platform delivers enterprise-grade scalability, security, and performance optimization through AI-powered indexing and query optimization. It supports multi-cloud deployment and flexible computing resources, seamlessly integrates with mainstream AI models and frameworks, and enables a wide range of use cases such as semantic search, recommendation systems, and anomaly detection.

LanceDB is a high-performance, open-source vector database designed to efficiently store, query, and manage embedding vectors along with raw multimodal data such as text, images, video, and point clouds. Built on the proprietary Lance columnar data format, it enables production-grade vector similarity search without the need for server management. LanceDB offers embedded deployment and a serverless architecture, automatic data versioning, and seamless integration with mainstream AI and data science tools, making it ideal for AI applications ranging from rapid prototyping to large-scale production.

Lianqi AI is a professional business search platform that leverages a large language model with billions of parameters to deliver comprehensive enterprise intelligence services. The platform aggregates over 180 million real-time bidding and procurement records, combined with extensive business knowledge, to provide precise commercial insights. Users can access company information and industry analysis through natural language queries, and identify potential business opportunities using the platform's advanced data processing and summarization capabilities.

DeepSeek is an AI company founded in 2023 in Hangzhou, specializing in developing high-performance, open-weight large language models (LLMs) that compete with leading global models such as OpenAI's GPT-4. Leveraging innovative architectures like Mixture-of-Experts and low-cost hardware for training, DeepSeek significantly reduces development costs while maintaining top-tier performance. Its product portfolio includes various AI models covering language, vision, code, and reasoning, supporting integration via web, mobile, and API platforms. DeepSeek also offers AI development workspaces and enterprise-grade AI solutions to empower automation, real-time processing, and data-driven decision-making across industries.