RAG e sistemi di conoscenza

onyx

onyx-dot-app/onyx

A self-hostable team AI platform combining knowledge connectors, retrieval, agents, and research workflows.

★ 32KStelle
⑂ 4,4KFork
434Problemi aperti
PythonLingua
Licenza
Q90Punteggio editoriale

Panoramica

Onyx packages the interface, knowledge ingestion, retrieval, and agent actions into an application. Standard deployment includes the knowledge index and connector workers. Lite is a simpler chat-and-agent setup and should not be used to estimate full-stack RAG resources.

Funzionalità principali

  • Connectors
  • Hybrid retrieval
  • Agent actions
  • Research and artifacts
  • Two deployment modes

Requisiti, installazione e avvio rapido

Use the official deployment overview. Choose Standard for knowledge indexing, configure one model and one small data source, and finish indexing before evaluation.

Utilizzo

Test known-answer, unanswerable, and permission-isolation questions. Check citations, synchronization lag, and document deletion before expanding connectors.

How it works
Connectors synchronize documents, workers index them, and retrieval supplies context to a model. Agents can invoke actions and MCP tools.

Audience and requirements
Teams operating an internal knowledge platform. Containers, a model service, and index/worker/storage resources for Standard.

Practical use cases
Internal knowledge access; team research; specialized agents.

Limitations and selection
Standard requires several services. Community and Enterprise features differ. Self-hosting the app does not make external model calls local.

Related projects and selection
labring/FastGPT:Comparison: FastGPT emphasizes visual workflows; evaluate Onyx for team access and connector synchronization.

open-webui/open-webui:Comparison: evaluate Open WebUI for chat access, and full stacks for synchronized knowledge.

Source review
Editorial analysis of upstream sources, without runtime or benchmark testing. Proposed workflows are editorial suggestions.

Compatibilità del modello e casi d'uso

Supports multiple hosted and self-hosted model providers; Standard also uses indexing-related model services.

Note su licenza e rischi

Community Edition uses MIT. Enterprise features have separate availability and terms; check the component and edition.

Editorial source review 2026-09-09T05:00:00.950Z. README and live repository page verified; current stars/forks from GitHub HTML. Last-push metadata retained from 2026-09-05 discovery snapshot. No runtime benchmark. Integration proposals are editorial analysis.

Rilascio e manutenzione

Reviewed 2026-09-09. Counters come from repository pages; features are based on upstream documentation. See Releases in the source links. Editorial analysis of upstream sources, without runtime or benchmark testing. Proposed workflows are editorial suggestions.

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