knowledge-base-builder

A knowledge base supports RAG workflows by applying taxonomy, hierarchical structuring, and metadata enrichment to your documents. This preprocessing ensures that chunked content retains its context, enabling accurate and secure retrieval for AI assistants.

Yes, you can organize internal policies, SOPs, and product docs across platforms like Notion and Obsidian. The skill designs a hierarchical structure and applies access controls to ensure consistent and secure AI access across your teams.

The best way to chunk documents for RAG is to combine preprocessing with metadata enrichment. By applying a structured taxonomy before chunking, the content maintains its hierarchical context, ensuring accurate retrieval when queried by AI.

Yes, implementing access controls is necessary when creating an internal knowledge base for teams. The skill applies security measures during the metadata enrichment process to ensure that document retrieval remains accurate and restricted to authorized personnel.

Metadata enrichment improves internal search and Dify integration by attaching descriptive tags and hierarchical context to chunked documents. This allows AI assistants to accurately locate and retrieve specific information from the centralized knowledge base.