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Average Ratings 0 Ratings
Description
Test, launch and refine Gen AI prompting. RAG Agents. Datasets. Workflows. A single workspace for Engineers and Product Managers to explore LLM technology.
Description
RAGFlow is a publicly available Retrieval-Augmented Generation (RAG) system that improves the process of information retrieval by integrating Large Language Models (LLMs) with advanced document comprehension. This innovative tool presents a cohesive RAG workflow that caters to organizations of all sizes, delivering accurate question-answering functionalities supported by credible citations derived from a range of intricately formatted data. Its notable features comprise template-driven chunking, the ability to work with diverse data sources, and the automation of RAG orchestration, making it a versatile solution for enhancing data-driven insights. Additionally, RAGFlow's design promotes ease of use, ensuring that users can efficiently access relevant information in a seamless manner.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Claude
Yes
DataForSEO
Yes
Docker
No
Elestio
No
Keenable
No
OpenAI
Yes
Zyte
Yes
Integrations
Claude
No
DataForSEO
No
Docker
Yes
Elestio
Yes
Keenable
Yes
OpenAI
No
Zyte
No
Pricing Details
$49/month
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fetch Hive
Founded
2024
Country
United Kingdom
Website
fetchhive.com
Vendor Details
Company Name
RAGFlow
Website
ragflow.io