How to Create a MOSS AI RAG Knowledge Base

1.Define the Scope of Your Knowledge Base First, determine what information your knowledge base will include. This data can consist of:

• Business-related documents (e.g., whitepapers, research reports, industry analyses)

• Product manuals, user guides, FAQs

• Articles, blogs, forum posts, community discussions

• Code repositories, API documentation

• Any proprietary knowledge you want the agent to have.

2.Prepare Knowledge Base Data To ensure the RAG model can effectively use the data, you need to organize the documents:

• Formatting: Currently, only plain text is supported. Remove images, special characters, and unnecessary line breaks. Hierarchical titles using numbers can be retained.

• Text Splitting: Long texts should be broken down into manageable knowledge snippets for efficient indexing.

• File Formats: Supports .doc and .txt files.

• File Size: You can upload multiple files, with a maximum file size of 2MB per file.

• Knowledge Base Updates: The knowledge base can be updated at any time, allowing for flexible additions or deletions.