Onyx

Product Introduction

1. Onyx is an AI platform designed for enterprise productivity that connects large language models (LLMs) to organizational data and workflows. It enables teams to build customizable AI agents with actions, perform deep research across internal and external sources, and automate tasks while maintaining data privacy. The platform supports integration with 40+ enterprise tools and offers self-hosted, open-source deployment for full control over infrastructure.
2. The core value of Onyx lies in its ability to ground AI outputs in proprietary organizational knowledge while providing enterprise-grade security and extensibility. It combines hybrid search, advanced retrieval-augmented generation (RAG), and LLM-based knowledge graphs to deliver reliable, context-aware responses for business use cases.

Main Features

1. Onyx provides a unified chat interface that integrates multiple LLM providers (e.g., GPT, Claude, or open-source models) with enterprise data sources, featuring built-in code interpretation, web search, and Multi-Context Processing (MCP) for complex problem-solving. The system automatically syncs with 40+ connectors including Slack, Google Workspace, and SQL databases while respecting granular access controls.
2. Custom AI agents can be programmed with specific actions, knowledge boundaries, and workflow triggers using Onyx's Modular Control Protocol (MCP), enabling use-case-specific automation for departments like engineering or sales. Agents leverage real-time data from connected apps and historical context to execute tasks ranging from document analysis to automated customer interactions.
3. The platform employs hybrid search technology combining vector embeddings, keyword matching, and LLM-based query expansion to retrieve information from both internal repositories (Confluence, Notion, etc.) and web sources. This is enhanced by contextual retrieval mechanisms that maintain conversation memory and domain-specific knowledge graphs for accurate, audit-ready responses.

Problems Solved

1. Onyx addresses the disconnect between generic AI chatbots and enterprise needs by providing verified responses grounded in up-to-date organizational knowledge rather than public internet data. It solves hallucination issues through its RAG pipeline that cross-references multiple data sources before generating outputs.
2. The platform serves cross-functional teams requiring secure AI integration with existing tech stacks, particularly enterprises in regulated industries like finance or healthcare that need air-gapped AI solutions. Engineering, support, and operations teams benefit from its workflow automation capabilities.
3. Typical scenarios include technical teams querying internal documentation during incidents, sales teams generating proposals using latest product updates, and customer support resolving tickets by analyzing historical conversations across multiple platforms like Zendesk and Intercom.

Unique Advantages

1. Unlike SaaS-only AI tools, Onyx combines open-source code availability with enterprise features like single-tenant deployment, VPC hosting, and compliance with data residency requirements through its self-hosting capabilities. This hybrid approach enables customization at the infrastructure level while maintaining commercial support options.
2. The platform introduces Modular Control Protocol (MCP), a framework for chaining AI actions with conditional logic and data validation rules, enabling complex workflows like automated Jira ticket creation from customer emails or real-time sales forecasting from CRM data.
3. Competitive differentiation comes from Onyx's layered retrieval system that sequentially applies keyword search, semantic search, and LLM-based knowledge graph traversal, achieving 92% answer accuracy in enterprise benchmarks compared to typical 60-75% for basic RAG implementations.

Frequently Asked Questions (FAQ)

1. How does Onyx ensure data privacy compared to cloud-based AI tools? Onyx operates as open-source software that can be deployed on-premises or in private clouds, with options for full air-gapped installations that prevent data transmission to third-party LLM providers unless explicitly configured.
2. What connectors does Onyx support for enterprise data integration? The platform offers pre-built connectors for 40+ applications including Salesforce, GitHub, Snowflake, and Microsoft Teams, with API templates for custom integrations using OAuth2 and service account authentication protocols.
3. Can Onyx work with our existing LLM infrastructure? Yes, Onyx provides a model-agnostic architecture supporting simultaneous connections to multiple LLM providers (OpenAI, Anthropic, local Llama 2 instances) with fallback routing and cost-based optimization features.