# jonexaiorg/jonex

All-in-One Multimodal Parsing Engine + Ontology-Powered, LLM Wiki-Driven AI-Ready Knowledge Engine

Repository: https://github.com/jonexaiorg/jonex
Canonical: https://ross.abutalabs.com/products/jonex
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-09-04T08:27:37+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-08T03:24:44.550594+00:00)
- activity 100, release rhythm 35, longevity 3
- inputs: {"age_days": 50, "days_push": 3, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1001, forks 174 (observed 2026-09-07T02:38:41.054690+00:00)

## What it is
Jonex is an end-to-end, self-hosted AI knowledge platform combining a multimodal parsing engine (documents, video, images) with an ontology-powered knowledge engine that compiles domain reasoning before retrieval. It provides ingestion, vector and graph indexing, source-grounded RAG retrieval, and business application services in one Docker Compose-deployable, multi-tenant system.

## Use cases
- parse pdfs and documents into ai-ready knowledge
- build a self-hosted rag knowledge base
- convert video and multimodal content into searchable knowledge
- ground llm answers in source documents
- build an enterprise knowledge engine with ontology
- index documents with vector and graph search
- query internal docs with citations

## When to choose
- you need a full-stack self-hosted RAG platform with multimodal ingestion
- you want ontology-driven knowledge compilation before retrieval
- you need source-grounded answers with citations in an enterprise, multi-tenant setup

## When to avoid
- you only need a lightweight embedding or parsing library to embed in your own app
- you need a fully managed SaaS knowledge base
- you need permissive licensing clarity (license is listed as NOASSERTION despite badges)

## Facets
- artifact type: service
- maturity: active
- function: rag, search-engine, vector-database, nlp, ocr, etl, pdf, api-framework, self-hosted
- domain: artificial-intelligence, large-language-models, backend
- platform: self-hosted, python, cross-platform
- tags: multimodal-parsing, knowledge-engine, ontology, rag-platform, document-parsing, knowledge-base, enterprise-ai, graph-indexing, retrieval-augmented-generation, data-engineering, search, docker, web-server

## Member repositories
- jonexaiorg/jonex (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-09-07T02:38:41.054690+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-09-07T08:14:41.871045+00:00, confidence 0.8.
  - readme: https://github.com/jonexaiorg/jonex (fetched 2026-09-07T02:38:41.054690+00:00, sha 4aecacfa3951)
- Data as of 2026-09-07T08:21:23.190159+00:00.