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.

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.

Connect External Sources

Beside uploading your internal documents, you can also connect other sources such as Github, Notion, Google Drive or Web Scraping.

Click on the source you want to connect and follow the prompts to complete connecting the expected sources.

Use Knowledge Base in Chat

You will need to toggle the Knowledge Base access button within the message area to enable knowledge base access for your chat.