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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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

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