Home/Computer Vision/NexusRAG

NexusRAG

LeDat98/NexusRAG

Hybrid RAG system with vector search and knowledge graph

GitHub

GraphCanon updated 1d · GitHub synced 1d

497 stars106 forksLast push 4mo Python

Decision brief

NexusRAG is a hybrid RAG system integrating vector search with a knowledge graph. It supports document parsing, visual intelligence (such as image/table captioning), agentic streaming chat, and inline citations.

Good fit when

Use NexusRAG if you need to incorporate both vector search capabilities and a rich knowledge graph into your AI application.
When your application benefits from the integration of Gemini or local Ollama models for enhanced text understanding and generation.

Avoid when

Avoid using NexusRAG in scenarios where real-time processing power is limited, as agentic streaming chat and visual intelligence can be computationally intensive.
NexusRAG might not be the best fit if your project strictly requires open-source licensing compliance due to its unknown license status.

Requirements:: Be cautious about compatibility with specific models and dependencies, as the repository does not specify comprehensive dependency management.

Observed Jul 12, 2026 · Source: enrich:decision_facts

NexusRAG alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Slowing (124d since push); As of 1d
Provenance: Not a fork · Personal account; As of 1d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install NexusRAG

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

ragflow

Retrieval-Augmented Generation engine with agent capabilities

87k★

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

36k★

RAG_Techniques

Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.

29k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

NexusRAG is a hybrid Retrieval-Augmented Generation (RAG) system that integrates vector search capabilities with a knowledge graph. It includes features such as document parsing, visual intelligence, agentic streaming chat, and inline citations.

Capability facts

Deploy: Self-host
Source: dockerfile:docker-compose.yml · Aug 23, 2026
Docker: Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 23, 2026
Languages: python
Source: github.language · Aug 23, 2026

README

Option A: Docker (Full Stack)

git clone https://github.com/LeDat98/NexusRAG.git
cd NexusRAG
cp .env.example .env

For agents

This page has a .md twin and JSON over the API.

/tools/ledat98-nexusrag.md GET /api/graphcanon/tools/ledat98-nexusrag GET /api/graphcanon/graph?tool=ledat98-nexusrag