Introducing KnowledgeRAG

Transform Your Data into AI-Powered Knowledge

Connect your documents, websites, and knowledge bases to LLMs for more accurate, context-aware AI responses.

KnowledgeRAG Platform Dashboard

Everything Your AI Needs to Access Your Knowledge

Our platform offers a complete solution for integrating your data with large language models.

Universal Data Connectors

Connect to virtually any data source including documents, websites, knowledge bases, and enterprise systems.

Automatic Data Processing

Our platform automatically extracts text, processes images, and transcribes audio/video content.

Semantic Search

Powerful vector-based semantic search finds information based on meaning, not just keywords.

LLM Integration

Seamlessly integrate with popular LLMs like GPT-4, Claude, and open-source models.

How It Works

Get started in minutes with our simple implementation process.

1

Connect Your Data

Use our connectors to import your documents, websites, and enterprise data.

2

Configure Your Knowledge Base

Set up data processing rules, create custom taxonomies, and define access controls.

3

Integrate with LLMs

Connect to your preferred LLM through our API or use our managed LLM integrations.

4

Deploy Your AI Application

Build chatbots, search applications, or knowledge assistants powered by your data.

Getting Started Steps

What Our Customers Say

Hear from businesses that have transformed their operations with KnowledgeRAG.

"KnowledgeRAG has completely transformed how our customer support team operates. Our agents now have an AI assistant that accurately answers questions based on our internal knowledge base, reducing resolution time by 65%."

Sarah Johnson

CTO, TechSupport Inc.

"We integrated KnowledgeRAG with our legal document system, and it's been a game-changer. Our lawyers can now query thousands of previous cases and get relevant precedents in seconds."

Michael Chen

Digital Innovation Lead, Global Law Partners

"The ability to connect our internal documentation, codebase, and ticketing system into a unified knowledge base has dramatically improved our development team's productivity."

Alex Rodriguez

VP of Engineering, SoftwareCorp

Frequently Asked Questions

Find answers to common questions about our RAG platform.

What is Retrieval-Augmented Generation (RAG)?

RAG is an AI architecture that enhances Large Language Models by retrieving relevant information from external knowledge sources before generating responses. This allows AI to access up-to-date information that wasn't in its training data and provide more accurate, context-aware answers.

How does KnowledgeRAG differ from just using an LLM API?

Standard LLM APIs have limited context windows and no access to your specific business data. KnowledgeRAG connects your enterprise knowledge to LLMs, allowing them to provide responses based on your actual data. This solves LLMs' hallucination problems and enables them to answer questions about your specific business information.

What types of data can I connect to KnowledgeRAG?

KnowledgeRAG supports virtually any data type, including documents (PDF, Word, PowerPoint, Excel), images, audio/video files, websites, databases, knowledge bases, and SaaS applications. Our platform automatically processes and indexes this content for AI retrieval.

Ready to supercharge your AI with enterprise knowledge?

Get started with a 14-day free trial with full platform access. No credit card required.