knowledge-base

To perform semantic search for RAG, this tool parses PDFs and extracts context from project code, enabling cross-source knowledge retrieval. It supports technical documents, API documentation, and compliance references to uncover relationships.

Yes, you can query API documentation and compliance references using this knowledge base tool. It retrieves relevant technical documents and applies contextual knowledge augmentation to support consulting workflows and compiling technical briefs.

The best way to search project code during refactoring is using semantic search to understand the codebase. This tool integrates cross-project knowledge and extracts contextual relationships from technical documents to guide your refactor.

YAML frontmatter drives discovery by utilizing name and description fields alongside optional trigger keywords. Setting auto_activate configures on-demand resource availability, ensuring the knowledge base surfaces contextually during retrieval tasks.

Yes, this RAG knowledge base works with software projects and research materials. It accelerates information discovery by parsing PDFs, understanding codebases, and retrieving context across diverse technical document sources.

Limitations of semantic search over technical documents include dependency on accurate PDF parsing and code extraction quality. Complex formatting in compliance references or deeply nested project code relationships may restrict contextual retrieval accuracy.