mcp-raganything logo
mcp-raganything
★ 15
vs
groundingLMM logo
groundingLMM
★ 969

mcp-raganything vs groundingLMM

mcp-raganything: MCP-RAGAnything is a multi-modal RAG service that exposes a REST API and an MCP server. It indexes documents stored in MinIO into a PostgreSQL-backed knowledge graph using LightRAG. Each project is isolated via its own working_dir.; groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.

01

TL;DR

mcp-raganything logo
mcp-raganythingVision / Multimodal · ★ 15

Integrate with Claude Desktop to query indexed documents

groundingLMM logo
groundingLMMVision / Multimodal · ★ 969

Interactive visual assistants that understand and respond to user queries about specific image regions.

02

Side-by-Side Comparison

Field
mcp-raganything logomcp-raganything
groundingLMM logogroundingLMM
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 15
★ 969
License
—
Apache-2.0
Install Command
uv sync && docker compose up -d postgres && cp .env.example .env && uv run python src/main.py
git clone https://github.com/mbzuai-oryx/groundingLMM.git
Updated
2mo ago
1mo ago
Open Source
Yes
Yes
Tags
agents, ai, docling
Multimodal AI, Computer Vision, Natural Language Processing
03

Features

mcp-raganything logomcp-raganything
01RESTful API for document indexing and querying
02MCP server integration for Claude Desktop
03Supports multiple query modes: naive, local, global, hybrid, mix, bypass
04Background indexing of files and folders from MinIO storage
05Project isolation through working directories
groundingLMM logogroundingLMM
01Generates natural language responses seamlessly integrated with object segmentation masks.
02Supports a novel Grounded Conversation Generation (GCG) task with comprehensive evaluation protocols.
03Performs detailed Region-Level Captioning and answers reasoning-based visual questions.
04Excels in Referring Expression Segmentation by creating segmentation masks from text-based queries.
05Provides high-quality Image Captioning and Conversational Style Question Answering.
04

Use Cases

mcp-raganything logomcp-raganything
↳Integrate with Claude Desktop to query indexed documents
↳Build a RAG-based document Q&A system
↳Index and query large document collections from MinIO
groundingLMM logogroundingLMM
↳Interactive visual assistants that understand and respond to user queries about specific image regions.
↳Automated annotation tools for creating dense, pixel-level grounded datasets.
↳Advanced image analysis for tasks requiring both visual understanding and detailed textual descriptions with segmentation.
FAQ

FAQ

What is the difference between mcp-raganything and groundingLMM?
Both mcp-raganything and groundingLMM are in the Vision / Multimodal category. mcp-raganything has 15 stars, while groundingLMM has 969 stars.
Which is better, mcp-raganything or groundingLMM?
The best choice depends on your use case. Choose mcp-raganything if Integrate with Claude Desktop to query indexed documents, and groundingLMM if Interactive visual assistants that understand and respond to user queries about specific image regions..
Is mcp-raganything free or open source?
Yes, mcp-raganything is open source on GitHub.
Is groundingLMM free or open source?
Yes, groundingLMM is open source on GitHub (Apache-2.0).
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