Goal
Q&A over your documents
What “Q&A over your documents” takes: Document parsing, Knowledge base (RAG); optional: Ask your documents, Embeddings, Vector search.
Ask questions and get cited answers from your PDFs and files.
Markdown version of https://godooo.ai/en/goal/document-qa-system. Every page on this site has one: add .md to its address.
What it takes
Questions
What is Q&A over your documents?
Ask questions and get cited answers from your PDFs and files. What “Q&A over your documents” takes: Document parsing, Knowledge base (RAG); optional: Ask your documents, Embeddings, Vector search.
Which AI tools do I need for “Q&A over your documents”?
Document parsing: RAGFlow, MinerU, PaddleOCR and MarkItDown; Knowledge base (RAG): Dify, LangChain, LlamaIndex and RAGFlow; Ask your documents: NotebookLM, RAGFlow, AnythingLLM and PrivateGPT; Embeddings: BERT, CLIP, word2vec and ELMo; Vector search: Milvus, Qdrant, Chroma and Weaviate.