Document Ingestion Pipeline

Build document loaders that read and normalize Markdown and plain-text source files

Apply recursive and markdown-aware chunking strategies to balance context and retrieval precision

Extract structural metadata from document headers and frontmatter for filtered retrieval

Generate embeddings and store document chunks in a Chroma vector database

Query the populated vector store to verify ingestion quality and retrieval accuracy