document repository with knowledge base

built a document management system with s3-backed storage, presigned url uploads, automatic text extraction via a dedicated document-processing lambda, and a rag pipeline that chunks documents, generates text-embedding-3-small embeddings, and stores them in supabase pgvector for semantic search. includes folder navigation by property/tag/category and a chunk viewer showing how documents were segmented for retrieval