SDS Knowledge Base — RAG

SDS Knowledge Base — RAG + LoRA Fine-Tuning

Built a local question-answering system over 497,000 chemical safety data sheets: two parsers unify raw corpora (Kaggle SDS files + PubChem XML) into one validated schema, and a hybrid retrieval pipeline SQLite FTS5 for exact identifiers, vector embeddings for semantics, fused with reciprocal rank fusion and re-ranked by a cross-encoder answers queries with cited sources and honest "no data" responses instead of guesses. Fine-tuned Qwen 2.5 7B with LoRA on 4,000+ Q&A pairs generated from the corpus, exported the adapter to GGUF.