ragflow
★ 92.7k
vs
sec-edgar-mcp
★ 374
ragflow vs sec-edgar-mcp
ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.; sec-edgar-mcp: SEC EDGAR MCP is a server that provides AI assistants with precise access to SEC EDGAR filings, including company financials, statements, and insider trading data. It is built on `edgartools` and offers tools for CIK lookup, filing retrieval (10-K, 10-Q, 8-K), and XBRL-parsed financial statements.
01
TL;DR
ragflowRAG / Knowledge Base · ★ 92.7k
When to choose:
- Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
- You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
- Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
- You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
sec-edgar-mcpRAG / Knowledge Base · ★ 374
Automated financial analysis and report generation by AI.
02
Side-by-Side Comparison
Field
ragflowsec-edgar-mcpCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 374
License
Apache-2.0
AGPL-3.0
Install Command
docker compose -f docker-compose.yml up -d
docker run -i --rm -e SEC_EDGAR_USER_AGENT=Your Name ([email protected]) stefanoamorelli/sec-edgar-mcp:latest
Updated
1d ago
2w ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
SEC EDGAR, Financial Data, AI Assistants
03
Features
ragflow01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
sec-edgar-mcp01Connects AI assistants to SEC EDGAR filings with exact numeric precision.
02Provides tools for CIK lookup, company information, and company facts.
03Enables retrieval and section extraction of 10-K, 10-Q, and 8-K filings.
04Offers XBRL-parsed balance sheets, income statements, and cash flow data.
05Includes data on Form 3/4/5 insider trading transactions.
04
Use Cases
ragflow↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
sec-edgar-mcp↳Automated financial analysis and report generation by AI.
↳Integrating real-time SEC EDGAR data into AI assistant workflows.
↳Developing applications requiring precise financial and insider trading data access.
↳Researching company financials and historical filings programmatically.
05
Best For
ragflowMost PopularEssentialTrending
sec-edgar-mcp—
FAQ
FAQ
What is the difference between ragflow and sec-edgar-mcp?
Both ragflow and sec-edgar-mcp are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while sec-edgar-mcp has 374 stars.
Which is better, ragflow or sec-edgar-mcp?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and sec-edgar-mcp if Automated financial analysis and report generation by AI..
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is sec-edgar-mcp free or open source?
Yes, sec-edgar-mcp is open source on GitHub (AGPL-3.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→