#4296 Chunking Markdown; +Embedding with Nomic and ChromaDB
#4296 Chunking Markdown; +Embedding with Nomic and ChromaDB #4296 Provide Python code to parse markdown text for logical chunking, with metadata for each chunk To handle "logical chunking," the most effective approach is to parse Markdown by its structure (headers) rather than just character counts. This ensures that a section about "Installation" stays together rather than being sliced in half. We can use the markdown-it-py library because it’s fast and provides a clear Abstract Syntax Tree (AST) , making it easy to track which header a piece of text belongs to. Python Implementation: Header-Based Chunker First, install the library: pip install markdown-it-py from markdown_it import MarkdownIt def chunk_markdown ( text ): md = MarkdownIt() tokens = md.parse(text) chunks = [] current_chunk = { "content" : [], "metadata" : { "headers" : []}} header_stack = [] for i, token in enumerate (tokens): ...