Universal Data Connectors
Connect to virtually any data source including documents, websites, knowledge bases, and enterprise systems.
Mentis · Products · KnowledgeRAG
Connect your documents, websites, and knowledge bases to LLMs for more accurate, context-aware AI responses.
KnowledgeRAG connects your documents and data sources to large language models, with citations back to the source.
Connect to virtually any data source including documents, websites, knowledge bases, and enterprise systems.
KnowledgeRAG extracts text from documents, processes images, and transcribes audio and video content.
Powerful vector-based semantic search finds information based on meaning, not just keywords.
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.
Use our connectors to import your documents, websites, and enterprise data.
Set up data processing rules, create custom taxonomies, and define access controls.
Connect to your preferred LLM through our API or use our managed LLM integrations.
Build chatbots, search applications, or knowledge assistants powered by your data.
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.
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.
KnowledgeRAG supports virtually any data type, including documents (PDF, Word, PowerPoint, Excel), images, audio/video files, websites, databases, knowledge bases, and SaaS applications. It automatically processes and indexes this content for AI retrieval.
Tell us about your data and we will show you what KnowledgeRAG can do with it.