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Onyx vs Hebbia

OnyxHebbia

Bottom line: Onyx for engineering-capable teams; Hebbia for finance.

AI search and chat across your company apps.

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AI built for the rigor of finance, law, and enterprise research

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Votes00
PricingFreemiumContact
CategoryEnterprise SearchEnterprise Search
Tags
ai-assistantenterprise-searchopen-sourcepractical-ossragself-hosted
enterprise-searchfinancial-researchdocument-analysis
Best for
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
  • finance
  • asset management
  • investment banking
Pros
  • Open-source and MIT-licensed with free self-hosting
  • 40+ connectors to common workplace apps
  • Model-agnostic, works with any LLM
  • Granular access controls and data residency
  • Active GitHub community and rapid development
  • Reasons over very large document and data sets at once
  • Answers are cited and traceable back to source material
  • Strong integrations with financial data providers and document stores
  • Enterprise-grade security (SOC 2 Type II, ISO/IEC 42001) with no training on user data
  • Purpose-built for finance and law rather than a generic chatbot
Cons
  • Self-hosting requires engineering effort to deploy and maintain
  • Less polished onboarding than turnkey SaaS
  • No native mobile app
  • Advanced/enterprise features may need the paid tier
  • Support for self-hosters is community-driven
  • No public pricing and no self-serve or free tier
  • Enterprise-only, so inaccessible to individuals and small teams
  • Requires a sales process and onboarding before use
  • Overkill for anyone without large, document-heavy workloads
  • Value depends on connecting proprietary and premium data sources

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