Opsivo vs Qdrant Viewer

Opsivo lets you manage servers and containers anytime, anywhere. Whether you are a DevOps engineer or developer, you can quickly connect to remote terminals, execute commands, and monitor services with ease. Key Features: - SSH Terminal: Securely connect multiple servers with password or key authentication. - Docker Management: Start, stop, view logs, and manage images in one place. - Visual Operations: Graphical container status for easier management. - Data Security: Strict encryption ensures safe server access. Use Cases: - Remote server management and maintenance - Docker container monitoring and operation - Developer testing and debugging Download now and experience safe, efficient remote management! Terms for Use (EULA):https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy:https://tinybrief.app/privacy-policy

Qdrant Viewer is a client app for connecting directly from your iPhone to vector databases hosted either self-hosted or on Qdrant Cloud, allowing you to inspect collections and perform semantic searches. Key Features: - Built-in Demo Environment: Immediately try vector search with approximately 30,000 MeSH (Medical Subject Headings) vectors, with no configuration required. - Flexible Connection Settings: Supports connection via REST API, including authentication with api-key, Bearer tokens, and custom headers. - Collection Information Display: View the number of points, segments, vector dimensions, and distance function. Alias names are prioritized if set. - Semantic Search: Perform vector searches using natural language. Adjust the number of results and score threshold for each search. - Flexible Result Display: Select and list any field within the payload (supports nested structures). Detailed inspection in JSON format is also available. - 3D Visualization: Project search results into a three-dimensional space to visually explore the distance relationships between vectors. - Multiple Embedding Engines: Supports Qdrant Built-in, OpenAI, Google, Hugging Face, Cohere, and custom APIs. - Data Source: Uses MeSH (U.S. National Library of Medicine, public domain) as demo data. The embedding model is intfloat/multilingual-e5-small, licensed under the MIT License.