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About

Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.

About

RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine that enhances information retrieval by combining Large Language Models (LLMs) with deep document understanding. It offers a streamlined RAG workflow suitable for businesses of any scale, providing truthful question-answering capabilities backed by well-founded citations from various complex formatted data. Key features include template-based chunking, compatibility with heterogeneous data sources, and automated RAG orchestration.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and businesses looking for a standardized way to integrate LLMs with various data sources and tools to build scalable AI systems

Audience

AI developers seeking a solution to integrate retrieval-augmented generation capabilities into their applications, enhancing accuracy and traceability in AI-driven tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Anthropic
Founded: 2021
United States
modelcontextprotocol.io

Company Information

RAGFlow
ragflow.io

Alternatives

Agent2Agent

Agent2Agent

Google

Alternatives

Flowise

Flowise

Flowise AI
Semantic Kernel

Semantic Kernel

Microsoft
ChatRTX

ChatRTX

NVIDIA

Categories

Categories

Integrations

Apify
Azure AI Foundry
ChatGPT
Claude Haiku 3.5
Claude Max
Claude Sonnet 3.7
DialLink
Elestio
GPT-4o
Gemini CLI
Glama
GoMarble
Klavis AI
OpenAI
Pipedream
Postman
Roo Code
SkySQL
Vantage
xpander.ai

Integrations

Apify
Azure AI Foundry
ChatGPT
Claude Haiku 3.5
Claude Max
Claude Sonnet 3.7
DialLink
Elestio
GPT-4o
Gemini CLI
Glama
GoMarble
Klavis AI
OpenAI
Pipedream
Postman
Roo Code
SkySQL
Vantage
xpander.ai
Claim Model Context Protocol (MCP) and update features and information
Claim Model Context Protocol (MCP) and update features and information
Claim RAGFlow and update features and information
Claim RAGFlow and update features and information