ragflow and ragapp

ragflow
72
Verified
ragapp
46
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 74,911
Forks: 8,368
Downloads:
Commits (30d): 243
Language: Python
License: Apache-2.0
Stars: 4,407
Forks: 479
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
No Package No Dependents
Stale 6m No Package No Dependents

About ragflow

infiniflow/ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

This tool helps create advanced AI assistants that can accurately answer questions using your specific business documents and data. You input various documents like PDFs, Word files, web pages, and even structured data, and it outputs a system that provides precise, traceable answers. It's designed for business leaders, knowledge managers, or AI product developers who need to build reliable question-answering systems for internal teams or customers.

knowledge-management enterprise-search customer-support-automation business-intelligence document-intelligence

About ragapp

ragapp/ragapp

The easiest way to use Agentic RAG in any enterprise

This project helps operations or IT teams quickly build and deploy internal chat applications that can answer questions using your company's private documents and data. It takes your enterprise knowledge base as input and produces a ready-to-use chat interface for your employees. This is for IT managers, operations engineers, or solution architects responsible for internal tool development and knowledge management.

enterprise-search internal-knowledge-base customer-support-automation information-retrieval IT-operations

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