AI Document RAG Summarizer
Building a document Q&A tool using Retrieval-Augmented Generation (RAG), combining PDF text extraction, custom text chunking, and semantic embeddings. Indexing embeddings (Voyage AI) with FAISS for similarity search, grounding LLM (Claude) responses in source documents to prevent hallucination.