AutoRAG 2.0
Hallucination-Free, No-code Enterprise RAG Platform
Generates Enterprise-Class RAG Application Automatically Within Minutes
Graph and metadata synthesis for improved retrieval and response accuracy
Industry-first TruthChecker model detects, explains and corrects hallucinations
AutoRAG is the industry-first opinionated Retrieval-Augmented Generation (RAG) platform designed specifically for enterprise use cases.
AutoRAG streamlines the development and deployment of highly capable and performant RAG systems, enabling faster, more reliable, and superior performance for a wide range of enterprise applications.
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This approach reduces the need for extensive customization and tuning, allowing developers, even those with limited AI expertise, to efficiently configure, deploy, and manage powerful RAG systems.
Hybrid RAG framework
AutoRAG uses knowledge graph, tabular data and unstructured data together to optimally answer user's questions. We have build elegant technology to use multiple sources of information effectively and efficiently.
Hallucination Detection and Response Correction
With our proprietary TruthChecker and TruthCorrection models, AutoRAG ensures that the generated responses are accurate and grounded, significantly reducing the risk of hallucinations and incorrect information.
Choice of LLMs
AutoRAG supports a variety of LLMs, including Mixtral, Llama3, Flan T5, GPT-4, Claude, and Gemini. You can also use Got It AI’s fine-tuned RAG response generation and TruthChecker models, ensuring flexibility and high performance.
Automated Evaluation and Improvement
Our platform includes automated evaluation capabilities to continuously tune models and system configurations, ensuring optimal performance. This system relies on a set of SOPs defined through extensive human annotation to achieve high accuracy.
Customizable and Extensible
While AutoRAG comes with pre-tuned configurations, it is fully customizable. Developers can tweak existing modules or add new ones to meet specific project requirements.
Battle tested
AutoRAG has been successfully deployed in enterprise cloud and VPC environments, passing stringent security, system architecture, and compliance requirements. Our customers include a consumer electronics firm using the Honeybadger system for customer service automation and a financial services firm using the Cheetah system as a sales team copilot.
AS FEATURED ON
3 steps to a transformative solution for Copilots and CX Autopilots
Natural Language Knowledge Retrieval
Bring your internal documents and knowledge bases and get an Agent Copilot bot that your agents can use to optimize their performance.
Real Time Fact Checking
Agent Copilot uses Got It AI's TruthChecker technology to reduce LLM hallucinations to low, GPT-4 levels
Human Level Accuracy
AutoRAG comes with a sophisticated active learning system that continuously improves performance, reaching human level or better accuracy
