What is RAGstack?
Retrieval Augmented Generation (RAG) is a technique where the capabilities of a large language model (LLM) are augmented by retrieving information from other systems and inserting them into the LLM’s context window via a prompt.
Problem
Businesses require a secure, internal chatbot solution that can provide dynamic, contextual responses by sourcing information in real-time from within their own systems. Traditional chatbots often lack the ability to retrieve and incorporate external or internal data dynamically, leading to less customized and insightful interactions, which can be a drawback for companies looking for highly tailored and secure solutions.
Solution
Ragstack is a dashboard tool that allows users to deploy their own private ChatGPT alternative hosted within their Virtual Private Cloud (VPC). The product leverages Retrieval Augmented Generation (RAG) to enhance the responses of a large language model by retrieving information from other systems and integrating it into the chat model's responses. This setup enables dynamic, contextually rich interactions that are secure and tailored to the company's database and privacy requirements.
Customers
Businesses and organizations of all sizes looking to implement AI-driven chat solutions that require high degrees of customization, privacy, and data security, particularly those in sectors like finance, healthcare, and government.
Unique Features
Ragstack's unique feature is its ability to deploy a ChatGPT-like service within a company's own VPC, providing enhanced security and privacy. The use of RAG for real-time information retrieval and integration into chat responses offers a level of dynamic interaction and customization not typically available in standard chatbot services.
User Comments
Users appreciate the enhanced security and privacy
Likes the dynamic and contextual interactions provided
Positive feedback on the ease of deployment within their own VPC
Praises for the level of customization available
Appreciation for the product's innovation in integrating real-time data
Traction
Since the specific traction details like number of users, revenue, or financing are not available directly from the provided sources or product's website, accurate traction metrics for Ragstack were not identifiable.
Market Size
The global chatbot market size was valued at approximately $4.2 billion in 2021 and is expected to grow at a compound annual growth rate (CAGR) of 24.9% from 2022 to 2030.
