AgentIndex icon
AgentIndex
MaxKB logo
MaxKB
★ 23.0k
vs
orionbelt-semantic-layer logo
orionbelt-semantic-layer
★ 101

MaxKB vs orionbelt-semantic-layer

MaxKB: MaxKB is an open-source platform for building enterprise-grade AI agents with integrated RAG pipelines, workflow orchestration, and MCP tool-use capabilities. It supports direct document upload, automatic web crawling, and multiple embedding models for knowledge base construction. Widely used for intelligent customer service, internal knowledge bases, and academic research applications.; orionbelt-semantic-layer: OrionBelt Semantic Layer is an open-source Semantic Sidecar that injects governed business semantics into AI and analytics systems without architectural changes. It allows users to define dimensions, measures, and business rules in YAML, which are then compiled into optimized, dialect-specific SQL for various databases.

01

TL;DR

MaxKB logo
MaxKBRAG / Knowledge Base · ★ 23.0k
When to choose:
  • You want an all-in-one knowledge-base and workflow agent platform that starts with a single Docker command and embeds easily into websites.
  • You need broad support for domestic Chinese LLM providers alongside global models for internal enterprise Q&A.
When to skip:
  • You cannot use GPL-3.0 licensed software in your commercial distribution; RAGFlow is Apache-2.0.
  • Your primary bottleneck is extracting complex tables and layouts from messy scanned PDFs; RAGFlow's deep document parser goes further.
Read MaxKB full review →
orionbelt-semantic-layer logo
orionbelt-semantic-layerRAG / Knowledge Base · ★ 101

Governed Data Access for AI Agents

Read orionbelt-semantic-layer full review →
02

Side-by-Side Comparison

Field
MaxKB logoMaxKB
orionbelt-semantic-layer logoorionbelt-semantic-layer
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 23.0k
★ 101
License
GPL-3.0
NOASSERTION
Install Command
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
pip install orionbelt-semantic-layer
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
RAG, Agent, LLM
Semantic Layer, SQL Generation, Data Governance
03

Features

MaxKB logoMaxKB
01RAG pipeline with document upload, web crawling, and automatic chunking
02Visual workflow builder for multi-step agent logic
03MCP tool-use capabilities for connecting to external services
04Supports multiple LLMs and embedding models
05Docker deployment with 1Panel integration for easy self-hosting
orionbelt-semantic-layer logoorionbelt-semantic-layer
01YAML-based Semantic Modeling (OBML)
02AST-based, Multi-dialect SQL Compilation
03Diverse Integration Surfaces (REST, MCP, Gradio, pgwire, Flight SQL)
04Advanced Agent-Facing API for AI Integration
05Source-level Freshness-Driven Result Cache
04

Use Cases

MaxKB logoMaxKB
↳Building intelligent customer service bots with enterprise knowledge bases
↳Creating internal Q&A systems over company documents and wikis
↳Deploying research assistants with RAG over academic or technical document collections
orionbelt-semantic-layer logoorionbelt-semantic-layer
↳Governed Data Access for AI Agents
↳Building and Powering Analytics Workflows
↳Defining and Monitoring Data Quality Checks
↳Calculating Regulatory and Business KPIs
↳Simplifying Reporting Use Cases
05

Best For

MaxKB logoMaxKB
Most PopularEssentialTrending
orionbelt-semantic-layer logoorionbelt-semantic-layer
—
FAQ

FAQ

What is the difference between MaxKB and orionbelt-semantic-layer?
Both MaxKB and orionbelt-semantic-layer are in the RAG / Knowledge Base category. MaxKB has 23.0k stars, while orionbelt-semantic-layer has 101 stars.
Which is better, MaxKB or orionbelt-semantic-layer?
The best choice depends on your use case. Choose MaxKB if Building intelligent customer service bots with enterprise knowledge bases, and orionbelt-semantic-layer if Governed Data Access for AI Agents.
Is MaxKB free or open source?
Yes, MaxKB is open source on GitHub (GPL-3.0).
Is orionbelt-semantic-layer free or open source?
Yes, orionbelt-semantic-layer is open source on GitHub (NOASSERTION).
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