Onyx
VS
Xyne
Onyx
Onyx is an open-source Artificial Intelligence platform designed to streamline information access within organizations. It integrates with a company's existing documents, applications, and personnel data, creating a centralized knowledge base. This connectivity allows teams to find information faster across various applications, improving overall efficiency. Onyx prioritizes security, offering deployment options such as fully air-gapped within a Virtual Private Cloud (VPC) or on-premise, ensuring sensitive data remains contained.
In addition to its robust search capabilities, Onyx facilitates the creation of custom AI Assistants powered by the organization's unique knowledge. These assistants can be deployed directly into existing workflows to provide contextual support. For development teams, Onyx offers open-source APIs, enabling the construction of tailored workflows and integrations. The platform maintains flexibility by being model-agnostic, allowing users to select their preferred large language model (LLM) provider or integrate their own self-hosted models for complete control over their AI implementation.
Xyne
Leverage an AI-powered engine designed to streamline information discovery within your organization. It functions as a central hub, connecting to various workplace applications to retrieve relevant files, data, and contact information efficiently. This system operates securely by strictly adhering to pre-existing user permissions across all integrated platforms, ensuring users can only access information they are authorized to view.
Built with a privacy-first approach, the platform utilizes Agentic Retrieval-Augmented Generation (RAG) to provide contextually accurate answers grounded in your organization's data, without training on that data or user prompts. It offers flexibility through model choice, allowing selection of the most suitable AI model, and versatile deployment options including laptop, on-premises, or cloud setups. By employing a semantic graph, it understands the relationships between knowledge, people, and projects, moving beyond simple keyword matching for deeper contextual understanding.
Pricing
Onyx Pricing
Onyx offers Freemium pricing with plans starting from $16 per month .
Xyne Pricing
Xyne offers Free pricing .
Features
Onyx
- AI Workplace Search: Find answers across all connected team applications.
- Custom AI Assistants: Create AI assistants powered by organizational knowledge.
- Developer APIs: Build custom workflows using open-source APIs.
- Extensive Integrations: Connects to 40+ applications out of the box.
- Data Security Options: Run fully air-gapped in VPC or on-premise.
- Advanced Permissions: Inherits document-level permissions and allows custom access rules.
- Extensibility: Modular, open-source architecture for customization.
- Model Agnostic: Choose any model provider or plug in a self-hosted LLM.
- Hybrid Search: Utilizes combined search methodologies for better results.
- Admin Dashboard/Analytics: Monitor usage and performance (Paid Plans).
Xyne
- AI-first Search & Answer Engine: Retrieves information, files, and people across connected apps.
- Agentic RAG: Provides LLM responses grounded in context from user applications.
- Permissions-Aware Security: Enforces granular app permissions, ensuring users only see accessible data.
- Model Choice: Allows users to select the AI model that suits their requirements.
- Flexible Deployment: Supports deployment on laptops, on-premises servers, or in the cloud.
- Semantic Graph: Maps relationships between knowledge, people, communication, and projects across apps.
- Ecosystem Integration: Connects with application suites (currently Google Workspace, upcoming Slack & Atlassian).
- Open Source: Available under the Apache 2.0 license.
- Privacy-First Architecture: No training on user data or prompts, no telemetry on usage.
Use Cases
Onyx Use Cases
- Accelerating internal information discovery for employees.
- Improving customer support responsiveness with AI-powered answers.
- Empowering developers with quick access to documentation and code context.
- Boosting sales team efficiency with instant access to customer data and product updates.
- Streamlining product operations by centralizing knowledge.
- Enhancing engineering workflows through integrated information access.
Xyne Use Cases
- Finding specific documents or files across multiple platforms.
- Answering questions based on internal knowledge bases.
- Getting information about project schedules or timelines.
- Identifying relevant personnel or team leads.
- Summarizing information from various internal sources.
- Accessing operational details like consultant rates.
- Integrating and searching across entire application ecosystems like Google Workspace.
- Building internal AI applications using a secure RAG foundation.
Onyx
Xyne
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