myCPaaS (TK vs Qdrant Viewer

CPaaS monitoring and configuration app for all Twilio and Signalwire based CPaaS solutions including signalwire.com (US) and the european CPaaS solution myCPaas.io (EU). With this app you get a quick overview about the Logs of your existing your Twilio, signalwire or myCPaaS account and can configure Signalwire and myCPaaS phone numbers. Current features: - status overview of last 1000 entries (all platforms) - call monitoring (all platforms) - call list export respecting filter settings (e.g. all calls from or to phone number xy) - message monitoring (all platforms) - message list export respecting filter settings - phone number edit (only name edit for Twilio) - phone number verification (for Signalwire and myCPaaS) Secure: No data is stored to any external database: - username and token are securely stored on the device and only used for API requests to fetch your requested data - calls and messaging data from API request responses are only stored on the device Feedback Channel: support@mycpaas.io (happy to get your feature requests) Proudly made in Berlin

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.