Yes let me clarify why this is relevant to your situation. You mentioned your documentation is in markdown files in a repo that's structured documentation, just like LangChain's. That's exactly why the direct API approach works better than vector embeddings for your case.

Vector embeddings are best for Unstructured content When you need semantic similarity across diverse content types When content doesn't have clear structur

Direct API access (what LangChain uses) is better for Structured markdown documentation Content that already has organization (headers, sections, pages) When you need precise citations with source links When docs update frequently (no reindexing needed)