OpenCone vs Qdrant Viewer

Transform your iPhone and iPad into a self-contained RAG powerhouse. Import PDFs, Word docs, code, images, and text into a secure sandbox - extraction, embedding, and semantic search happen with zero lock-in. Point the app at your OpenAI and Pinecone credentials for a private knowledge base that streams grounded, citation-backed answers in real time. COMPLETE DOCUMENT PIPELINE • Multi-format extraction: PDF, DOCX, TXT, HTML, Markdown, JSON, CSV, and code • Apple Vision OCR for on-device image text recognition • MIME-aware chunking with configurable size and overlap • Security-scoped bookmarks preserve file access across launches • Deduplication by path, size, and timestamp fingerprinting • Live progress tracking with structured logs for every phase SEMANTIC SEARCH WITH STREAMING • One-tap queries embed prompts and run similarity search against Pinecone • Server-Sent Events deliver incremental answer deltas—no blocking spinners • Citations reference exact chunks with document names and source metadata • Metadata filters scope searches to specific documents or custom tags • Conversation memory keeps recent turns in context for coherent follow-ups GPT-5 REASONING MODEL SUPPORT • Choose between standard models (GPT-4o, GPT-4o mini) or GPT-5 • Dynamic controls: reasoning effort for GPT-5, temperature/top-p for others • Unified Responses API with conditional parameterization RESILIENCE & OBSERVABILITY • Pinecone health checks surface outages with dismissible banners • Circuit breaker prevents hammering unhealthy hosts • Watchdog timers catch stalled streams and trigger fallbacks • Per-search trace IDs and granular log levels make every stage inspectable • Error banners auto-dismiss after 8 seconds with user-friendly summaries SETTINGS & PRIVACY • Credentials in Keychain via SecureSettingsStore • Release guardrails prevent accidental key leaks • Model selection, chunk parameters, top-k defaults, metadata presets persist • Reset control wipes credentials and history without reinstalling • Guided onboarding validates API keys before unlocking main interface POLISHED SWIFTUI EXPERIENCE • Theme manager with alternate icons and dynamic color schemes • Reactive MVVM-S architecture decouples views from business logic • Async/await throughout keeps UI responsive during heavy operations • Design system components ensure consistency across all tabs Whether building surgical references, legal research corpora, or personal knowledge vaults, OpenCone delivers production-grade RAG without vendor dashboards or billing surprises.

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.