Lark
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
The Open Source AI Knowledge Engine for the Modern Enterprise.
Onyx is a leading-edge AI-powered search and knowledge management platform that leverages Retrieval-Augmented Generation (RAG) to provide direct answers based on an organization's internal data. As of 2026, Onyx has evolved into a robust middleware for enterprise intelligence, connecting natively to over 100 data sources including Slack, GitHub, Notion, and Microsoft SharePoint. Technically, Onyx distinguishes itself through its hybrid search architecture, which merges dense vector retrieval with traditional BM25 keyword matching, ensuring that both semantic intent and exact terminology are captured. The platform is designed for deep security compliance, featuring automatic permission syncing that ensures users only access information they are authorized to see in the original source systems. Positioned as the primary open-source alternative to proprietary solutions like Glean, Onyx allows for both cloud-hosted ease and self-hosted privacy, making it the preferred choice for organizations requiring high data sovereignty and model-agnostic flexibility. Its ability to swap LLM backends—from GPT-4o to locally hosted Llama 3 variants—provides a future-proof framework for enterprise AI strategy.
Onyx mirrors the Access Control Lists (ACLs) from source systems like Google Drive and Slack, ensuring the RAG engine only retrieves documents the user has permission to view.
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
The semantic knowledge fabric for high-velocity enterprise intelligence.
Cognitive Enterprise Search and RAG-Powered Knowledge Discovery for the Intelligent Workspace.
Transform complex database schemas into actionable natural language insights with autonomous SQL synthesis.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Utilizes a two-stage retrieval process: Vector search for semantic context and BM25 for precise keyword matching.
Allows administrators to route different queries to different models based on complexity or cost.
Background workers poll connected apps for changes, maintaining a real-time delta-sync of the index.
Define specific 'Experts' within the system with specialized system prompts and document subsets.
Every LLM-generated response includes direct hover-links to the exact source document and paragraph.
Includes a built-in evaluation framework to measure search quality and relevance over time.
New hires spend weeks asking repeat questions about legacy code and internal architecture.
Registry Updated:2/7/2026
New hire reviews citations to verify.
Support agents are overwhelmed with repetitive internal product queries.
Sales teams struggle to find the latest security and technical compliance data for RFPs.