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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.

About

T-NEX Chatbot is a company knowledge assistant tailored to answer recurring questions from approved business content. It can retrieve maintained answers and show their recorded source references, or add a separately scoped retrieval-augmented generation (RAG) function that composes responses from relevant document passages. The solution can include an interface for authorised staff to create, edit and categorise knowledge entries, with source documents and ownership maintained alongside answers. It is designed for internal employee questions or defined customer-service information, such as work instructions, internal processes and service offerings. Project setup can define content permissions, treatment of unanswered questions, human handover, and evaluation against a question set before expanding sources or users. The language model is optional; data, access and conversation handling are tailored to the use case.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

SMEs, startups and industry

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

RAGFlow
ragflow.io

Company Information

T-NEX
Founded: 2024
Germany
t-nex.de/en/companies/products/ai-chatbot/

Alternatives

Alternatives

Tune Chat

Tune Chat

NimbleBox
AiChatSale

AiChatSale

PandaWM

Categories

Categories

AI Chatbots Supported

Integrations

Docker Supported
Elestio Supported
Keenable Supported

Integrations

Docker Not Supported
Elestio Not Supported
Keenable Not Supported
Claim RAGFlow and update features and information
Claim RAGFlow and update features and information
Claim T-NEX Chatbot and update features and information
Claim T-NEX Chatbot and update features and information