The Knowledge Base feature allows you to upload and connect your data sources and ask questions about your documents.

Getting started

Retrieval-Augmented Generation (RAG) is a technique that enhances Large Language Models (LLMs) by allowing them to access and incorporate external knowledge sources, like databases or documents, to generate more accurate and contextually relevant responses.

TypingMind supports a built-in RAG system with the Knowledge Base feature. You can upload files to TypingMind and then allow AI agents to access these files and get more context to answer your questions more accurately during the conversation.

Upload your files

• Open TypingMind, then click the “KB” (Knowledge Base) tab.
• Click Add Data Source and start uploading your files.
• Currently supported files are: Text files, PDF, CSV, Excel, Word. We will continue to support more file types and connect other data sources in the future.

You can tag your documents to be used by AI agents later. This helps you split your KB into different topics/categories that can later be used by different AI agents.

AI Agent Knowledge Base Access

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Knowledge Base can only be accessed via AI agent, so when you chat with a model directly, it cannot access the Knowledge Base.

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Once the data is uploaded, assign the KB access to your AI agents by going to Agents → Edit or create an AI agent → Knowledge Base Access

By default, AI agents don't have access to Knowledge Base. You can set the AI agent to be able to:

• Access all data in the knowledge base
• Access only documents with specific tags